B3 staging seed — 21 runs + catalogue v1.0-draft + methodology + README
Initial population of the weeyuga-benchmarks-public archive (PRIVATE staging visibility — flips public after Miljan + Stevan security audit sign-off per Sloba's 17:34Z dispatch). Contents: - README.md — public-facing intro (warns staging state, schema overview, citation pattern, license split) - LICENSE — CC-BY-4.0 default (auto-init from Gitea) - catalogue.json — schema_version=1.0-draft (locked once Tomas ratifies); 21 benchmarks indexed, 13 complete + 8 meta-only - methodology.md — mirror of WeeyugaWeb docs/BENCHMARKS/HARNESS.md (canonical methodology) - runs/<id>/run.jsonl|run.log|run.md|metadata.json — packaged copies of every run in WeeyugaWeb docs/BENCHMARKS/runs/* Run set covers: - Mission 1 (2026-04-28/29): pavilion-weeyuga-v1 + reconstructed v3 (96 calls, 16 models routed via weeyuga :11435) - Predator trio (2026-05-04): granite-4.1-8B + gemma-4-E4B-it + qwen3.5-9B - Predator qwen rerun (2026-05-04): qwen3.5-9B think500/nothink + qwen3-14B feasibility - A3B campaign (2026-05-04/05): pavilion-a3b + predator-a3b NGL matrix + ctx sweep + NGL+ctx 2D + NGL=6 deep dive - VPS50 CPU matrix + gemma-e4b CPU lane (2026-05-04/05) Visibility GATE: this repo stays private until Miljan G1-G4 audit and Stevan G3 credential audit both green. After sign-off, single API call flips visibility=public, anonymous read on, push-protection requires auth, issues moderate by default. No raw IPs, no SSH user@host strings, no /Users/ paths, no whisper transcripts in any of these files. Hardware names (pavilion, predator, vps50) are intentional and fine to share. Builder: WeeyugaWeb/scripts/benchmarks/build_catalogue.py (deterministic, idempotent, ~5s wall on 21 runs). Publish flow: WeeyugaWeb/scripts/benchmarks/publish_bench_run.py (builds packaged dirs, regenerates catalogue, optional --push to mirror into this repo, optional --deploy stub for cicd rsync). Owner: mac/benchmark-tester-ben (Ben). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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README.md
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# weeyuga-benchmarks-public
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Canonical raw-data archive for benchmarks.weeyuga.com — Weeyuga cluster benchmark runs (Pavilion, Predator, Mac, VPS50, RunPod). Currently PRIVATE STAGING; flips public after Miljan + Stevan security audit sign-off.
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> **Status: PRIVATE STAGING** — this repo is not yet public. Flips to anonymous-read after [Miljan + Stevan's pre-launch security audit](https://git.weeyuga.com/slobodanmargetic988/WeeyugaWeb/src/branch/main/coordination/messages) signs off. If you're reading this and you're not on the Weeyuga team, you got here too early.
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Canonical raw-data archive for **[benchmarks.weeyuga.com](https://benchmarks.weeyuga.com)** — every benchmark run we publish on the site is mirrored here as raw JSONL + log + human summary so anyone can clone, re-analyse, or cite.
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## Layout
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```
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.
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├── README.md — this file
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├── LICENSE — CC-BY-4.0 (data) + MIT (helper code)
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├── catalogue.json — index of every published benchmark (mirror of the site catalogue)
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├── methodology.md — how we benchmark + fairness rules + reproducibility notes
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└── runs/
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└── <run-id>/
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├── run.jsonl — canonical raw event stream (one JSON object per line)
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├── run.log — tee'd stdout/stderr from the harness (when captured)
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├── run.md — human-readable summary (when synthesis exists)
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└── metadata.json — computed snapshot: meta record + per-cell aggregates + status
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```
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## Run-ID format
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Every run gets a UUID v4 `<run-id>` assigned at harness startup. Run IDs are stable across re-runs of synthesis — the same run-id always points to the same raw `run.jsonl` event stream. Synthesis docs (`run.md`) and computed metadata (`metadata.json`) can be regenerated from the canonical jsonl at any time.
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## Schema
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The `catalogue.json` index follows `schema_version = "1.0-draft"` (or later — check the value at the top of the file). Per-benchmark entries include:
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- `id` — run-id
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- `title`, `headline`, `date`
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- `hardware` (pavilion / predator / mac / vps50 / runpod)
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- `engine` (llamacpp / ollama / vllm / mlx / cpu)
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- `harness` (which harness produced this — see `methodology.md` for the matrix)
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- `model_family`, `model_sizes`
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- `cells[]` — per-(machine × engine × model) summary: n_calls, n_errors, duration_ms (mean + p50), tokens_per_sec (mean + max)
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- `synthesis_doc` — filename of the synthesis prose for this run, if one exists
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- `tags`, `status`, `visibility`
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Per-run `metadata.json` adds `cells_full[]` with the full call list inline.
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## How to consume
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### Just download a single run
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```bash
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curl -O https://benchmarks.weeyuga.com/data/runs/<run-id>/run.jsonl
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```
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### Clone the whole archive
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```bash
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git clone https://git.weeyuga.com/slobodanmargetic988/weeyuga-benchmarks-public.git
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```
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### Re-build catalogue from raw
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The canonical builder lives in [WeeyugaWeb/scripts/benchmarks/build_catalogue.py](https://git.weeyuga.com/slobodanmargetic988/WeeyugaWeb/src/branch/main/scripts/benchmarks/build_catalogue.py) and runs against `runs/*.jsonl`. If you want to regenerate the catalogue from your own clone of this repo:
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```bash
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git clone https://git.weeyuga.com/slobodanmargetic988/WeeyugaWeb.git
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cd WeeyugaWeb
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python3 scripts/benchmarks/build_catalogue.py
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```
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## Citation
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If you use this data, please cite as:
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```
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Margetić, S. & contributors. (2026). Weeyuga cluster benchmarks (raw data archive).
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https://git.weeyuga.com/slobodanmargetic988/weeyuga-benchmarks-public
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```
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(A more formal citation form will land here once Mila weighs in on academic-attribution conventions.)
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## License
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- **Data** (`runs/`, `catalogue.json`, `methodology.md`): [Creative Commons Attribution 4.0 International (CC-BY-4.0)](LICENSE)
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- **Helper code** (any future scripts inside this repo): [MIT](LICENSE-MIT) (separate file added if/when code lands here)
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You are free to share, re-host, re-analyse, and remix the data with attribution.
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## What's in here vs what's NOT
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This repo contains **bench-run output only**. No source code. No infrastructure config. No application internals. Reproducing a run requires the [WeeyugaWeb](https://git.weeyuga.com/slobodanmargetic988/WeeyugaWeb) main repo (also Gitea-hosted; visibility separate).
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## Reporting an issue with the data
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If you spot a bench number that looks wrong, a methodology gap, or a privacy slip in published metadata: open an issue on this repo, or email the Weeyuga team. We'd rather know.
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## Status
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| What | State |
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|---|---|
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| Repo created | 2026-05-05 |
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| First 21 runs landed | 2026-05-05 |
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| Miljan + Stevan security audit | scheduled |
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| Visibility flipped to public | pending audit sign-off |
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| Site `benchmarks.weeyuga.com` live | pending Bane DNS + nginx + Tomas site |
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Owner: `mac/benchmark-tester-ben` (Ben). For coordination, see the [WeeyugaWeb coordination bus](https://git.weeyuga.com/slobodanmargetic988/WeeyugaWeb/src/branch/main/coordination).
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1451
catalogue.json
Normal file
1451
catalogue.json
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File diff suppressed because it is too large
Load Diff
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methodology.md
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methodology.md
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# BENCHMARK HARNESS — Weeyuga cluster
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> **Owner:** mac/benchmark-tester-ben (Ben). Ping me on the bus with
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> `Ben — benchmark X` and I'll either point at an existing harness
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> output or queue a measurement.
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>
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> **Purpose:** the reproducible measurement surface for the cluster.
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> Anyone who reads `v1_BASELINE.md` (or any future baseline) needs
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> to know exactly how the numbers were produced — same git SHA,
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> same prompts, same env, same telemetry tagging — so cross-run
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> diffs are actually comparable.
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>
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> **Companion docs:**
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> - `docs/BENCHMARKS/v1_BASELINE.md` — the first matrix (per-node ×
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> per-engine × per-model × per-prompt) of cold/warm latency,
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> tokens/sec, p50/p95.
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> - `docs/MONITORING_RUNBOOK.md` (Luka) — query side, how to filter
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> benchmark traffic out (`metadata.test:true`).
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> - `coordination/HARDWARE_INVENTORY.md` — node spec ground truth.
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> - `docs/architecture/elasticsearch/templates/index-weeyuga-telemetry.json` —
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> ground envelope schema (`metadata: flattened` is where my
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> tagging goes).
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---
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## 1. What I measure (the metric set)
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Every run captures these fields. Anything missing means the run is
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discarded — partial numbers are not numbers.
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### Per-call (one prompt → one inference call)
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| Field | Type | Source | Notes |
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|---|---|---|---|
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| `first_delta_ms` | int | client wall-clock between `POST` and first SSE chunk arriving | TTFT — most user-perceived |
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| `total_duration_ms` | int | client wall-clock between `POST` and final SSE chunk | full request span |
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| `prompt_tokens` | int | response body usage | from `/v1/chat/completions` `usage.prompt_tokens` |
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| `completion_tokens` | int | response body usage | for llama.cpp this includes reasoning tokens; for Ollama (think:false bypass) it's answer-only |
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| `tokens_per_sec` | float | `completion_tokens / ((total_duration_ms - first_delta_ms) / 1000)` | excludes prefill/queue time |
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| `finish_reason` | enum | response body | `stop` / `length` / `error` — anything other than `stop` is a flagged run |
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| `backend` | enum | response header `X-Weeyuga-Backend` if present, else inferred from URL | `ollama` / `llamacpp` / `brain-routed` |
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| `cell_id` | str | harness | `<node>:<engine>:<model>` (e.g. `mac:llamacpp:qwen3.5:0.8b`) |
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| `prompt_id` | enum | harness | `P-EASY` / `P-MEDIUM` / `P-HARD` (frozen — see §3) |
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| `run_idx` | int | harness | 0..N within a (cell,prompt) cell |
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| `phase` | enum | harness | `cold` (first run after model-load) / `warm` (subsequent) |
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| `error` | str? | harness | populated on exception; the run is recorded but excluded from p50/p95 |
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### Per-batch (one cell = one cold + N warm)
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| Field | Source |
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|---|---|
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| `cold.first_delta_ms` | the single cold run |
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| `cold.total_duration_ms` | the single cold run |
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| `warm.first_delta_ms.p50` / `.p95` | percentile across N warm runs |
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| `warm.total_duration_ms.p50` / `.p95` | percentile across N warm runs |
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| `warm.tokens_per_sec.mean` | mean across N warm runs |
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| `warm.success_rate` | `(N - error_count) / N` |
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### Per-run (one harness invocation = many cells × many prompts)
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| Field | Source |
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|---|---|
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| `benchmark_run_id` | `uuid4()` generated at harness start |
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| `git_sha` | `git rev-parse HEAD` |
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| `git_dirty` | `True` if `git status --porcelain` non-empty |
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| `harness_version` | `scripts/benchmarks/HARNESS_VERSION` constant (bump on shape change) |
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| `started_at_utc` / `finished_at_utc` | wall-clock |
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| `host` | `socket.gethostname()` (where the harness is driven from) |
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| `load_avg_start` / `load_avg_end` | `os.getloadavg()` snapshot |
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| `env_route` | `WEEYUGA_INFERENCE_ROUTE` if set |
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| `env_llamacpp_url` | `WEEYUGA_QWEN35_LLAMACPP_URL` if set |
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| `cells_planned` | the cell list from `cells.yaml` after target-availability filtering |
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These metadata fields are written **once at the top of the JSONL
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ledger** as a single `meta` record, then every subsequent line is a
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per-call record.
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I do **not** measure GPU memory peak, CPU utilization, or network
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bytes in v1 — those need on-target instrumentation (nvidia-smi /
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top sampling / pcap) which adds harness complexity and another
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moving part. v2 will add per-target system-load samplers driven by
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SSH from the harness host. Today these are surfaced via Luka's
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Cluster Health Overview dashboard if the run window matters.
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---
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## 2. Run patterns
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Every cell runs **all four patterns** by default; opt out per-cell via
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`cells.yaml` flags.
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### 2.1 Cold vs warm
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- **Cold**: model is forced out of memory before the first call.
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- Ollama: `POST /api/generate {"model":"<name>","keep_alive":0}` with empty prompt to trigger unload, then a 2-second pause, then the measured call.
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- llama.cpp: server keeps the model resident across requests by
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design — there is no per-request unload. A "cold" llama.cpp run
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is captured by sending the very first request after a fresh
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`llama-server` start; on Pavilion + Mac the server is a
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long-lived daemon, so cold-after-restart is the only true cold,
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and we record the warm-from-now-on number for these. Marked
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`cold_kind: process_warm` in the JSONL.
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- **Warm**: the call is preceded by another call to the same model
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on the same engine within the last 60 s.
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The harness runs **1 cold + 5 warm** per (cell, prompt). 5 is the
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v1 N — small enough the run finishes in < 30 min for the v1 cell
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matrix; large enough to compute a meaningful p50/p95.
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Bump N to 20 only when investigating a regression — it's expensive
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and adds nothing to baseline shape.
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### 2.2 Single-thread vs N-parallel
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**v1: single-thread only.** Parallel-capacity tests are v2 and need
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extra coordination because parallel inference on GTX 1050 (only 4 GB
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VRAM with qwen3.5:0.8b at ~1.2 GB) thrashes hard, and Mac's M1
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unified memory shares with the OS — running 4 parallel inference
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calls during Sloba's work day is exactly the kind of "you didn't
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tell me you were going to do that" event that earns trust loss.
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When v2 lands, parallel runs go into `v1_BASELINE_PARALLEL.md` (or
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v2_BASELINE.md if I bump the baseline shape).
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### 2.3 Local vs cross-node-routed
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**v1: local only.** Each cell measures the engine on its own
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node — the harness drives the call directly to that node's
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`:11434` (Ollama) or `:11436` (llama.cpp).
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**v2 will add cross-node-routed cells**: the harness drives the
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call to the brain (`https://cluster.weeyuga.com`) with
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`WEEYUGA_INFERENCE_ROUTE=<node>` set, the brain forwards to the
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node, and we measure routing overhead = `cross_node.duration_ms -
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local.duration_ms` per (cell, prompt).
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Atlas owns the routing knob; coordinate before adding cross-node
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cells (the brain may need to honor a benchmark header — see §5).
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---
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## 3. Frozen canonical prompts
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Three prompts. They never change once shipped — diffing across
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runs depends on the input being byte-identical.
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If you need a new prompt for an investigation, **add it as
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`P-NEW1`/`P-NEW2`** to `scripts/benchmarks/prompts.yaml`; do NOT
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edit the existing three. Future-Ben will thank you.
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```yaml
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P-EASY:
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intent: trivial — single-token response space, near-zero work
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prompt: |
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hi
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max_tokens: 64
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P-MEDIUM:
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intent: bounded structured task — 4 sentences on a known topic
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prompt: |
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Explain in 4 sentences why the sky appears blue at noon.
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max_tokens: 512
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P-HARD:
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intent: open-ended creative — 200-word generation
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prompt: |
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Write a 200-word story about a fisherman who discovers a coin from a sunken empire.
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max_tokens: 1024
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```
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Why these three:
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- **P-EASY** is the trivial-bypass test. Mac's Phase 0+1 routing
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classifies sub-3-word prompts to Ollama `think:false` bypass; on
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llama.cpp the same prompt eats reasoning budget and shows the
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"empty bubble" phone bug Atlas called out in the Phase 2 broadcast.
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P-EASY is how we keep that regression visible.
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- **P-MEDIUM** is Bane's Phase 2 smoke prompt verbatim. We already
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have a sanity reference: Mac M1 llama.cpp 30.5 s, Pavilion GTX 1050
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llama.cpp 37.8 s. New runs landing far from those values are a
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flag.
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- **P-HARD** stresses the answer side — completion_tokens is the
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dominant axis, so this is where tokens-per-sec across hardware is
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most legible. The 200-word target is loose; finish_reason=stop
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vs length is a separate dimension we record.
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The trio spans the prompt space cheaply: 1 token / ~50 token / ~250
|
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token expected outputs, three orders of magnitude apart.
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||||
---
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||||
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||||
## 4. Cell matrix
|
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Cells are declared in `scripts/benchmarks/cells.yaml`. Each cell is
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a `(node, engine, model)` triple plus availability flags.
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||||
**v1 cells** (the matrix v1_BASELINE.md captures):
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||||
|
||||
| Cell ID | Node | Engine | Model | Endpoint | Available? |
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|---|---|---|---|---|---|
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||||
| `mac:ollama:qwen3.5:0.8b` | Mac M1 | Ollama | qwen3.5:0.8b | `http://127.0.0.1:11434` | ✅ |
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| `mac:ollama:qwen2.5-coder:0.5b` | Mac M1 | Ollama | qwen2.5-coder:0.5b | `http://127.0.0.1:11434` | ✅ if pulled |
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||||
| `mac:ollama:qwen2.5-coder:1.5b` | Mac M1 | Ollama | qwen2.5-coder:1.5b | `http://127.0.0.1:11434` | ✅ if pulled |
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||||
| `mac:llamacpp:qwen3.5:0.8b` | Mac M1 | llama.cpp | qwen3.5:0.8b Q4_K_M | `http://127.0.0.1:11436` | ✅ if `llama-server` running |
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||||
| `pavilion:ollama:qwen3.5:0.8b` | Pavilion | Ollama | qwen3.5:0.8b | `http://10.8.0.3:11434` | ✅ via WG |
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||||
| `pavilion:llamacpp:qwen3.5:0.8b` | Pavilion | llama.cpp | qwen3.5:0.8b Q4_K_M | `http://10.8.0.3:11436` | ✅ via WG |
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||||
| `predator:ollama:qwen3.5:0.8b` | Predator | Ollama | qwen3.5:0.8b | `http://10.8.0.7:11434` | ⏳ if pulled |
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||||
| `predator:llamacpp:qwen3.5:0.8b` | Predator | llama.cpp | (pending) | `http://10.8.0.7:11436` | ❌ pending Trinity Job B |
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||||
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||||
**Skipped in v1**:
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||||
- **cicd Ollama** — cicd is the brain host. Driving inference
|
||||
load on it directly risks affecting Sloba's mobile chat path.
|
||||
Add only on explicit Sam dispatch.
|
||||
- **qwen3:4b / qwen3:9b / qwen3:35b-a3b on any node** — heavier
|
||||
models, need their own measurement pass with longer N and longer
|
||||
windows. Queued for v2.
|
||||
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||||
The harness probes each cell's availability with a 1-second
|
||||
`HEAD`/`GET` health check before running. Unavailable cells are
|
||||
recorded as `skipped: <reason>` in the JSONL, NOT silently dropped.
|
||||
|
||||
---
|
||||
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||||
## 5. Telemetry tagging — `metadata.test=true` + `metadata.benchmark_run_id`
|
||||
|
||||
**Hard rule (per Sam's kickoff):** every benchmark call that flows
|
||||
through the brain or any path that emits to
|
||||
`weeyuga-telemetry-*` must be tagged so Luka's dashboards can
|
||||
filter benchmark traffic out of production graphs.
|
||||
|
||||
### v1 convention (proposed — see §5.4 for coordination)
|
||||
|
||||
For events landing in `weeyuga-telemetry-*` (ground envelope):
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"...": "...",
|
||||
"metadata": {
|
||||
"test": true,
|
||||
"benchmark_run_id": "<uuid4>",
|
||||
"benchmark_cell_id": "mac:llamacpp:qwen3.5:0.8b",
|
||||
"benchmark_prompt_id": "P-MEDIUM",
|
||||
"benchmark_phase": "warm",
|
||||
"benchmark_run_idx": 3,
|
||||
"harness_version": "1"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
`metadata` is `flattened` in the index template (Nemanja
|
||||
`weeyuga-mappings-common` v2.1 + `index-weeyuga-telemetry.json`),
|
||||
so the keys above index without a mapping change. That's the
|
||||
intended extension hatch.
|
||||
|
||||
For events landing in `weeyuga-logs-*` / behavioral indices, the
|
||||
equivalent goes under `labels.test=true` (also `flattened`).
|
||||
|
||||
### 5.1 Mode A — direct-engine (default for v1)
|
||||
|
||||
The harness drives calls **directly to the engine** (`:11434`,
|
||||
`:11436`), which does **not** emit ground envelope. No telemetry
|
||||
tag is needed because no telemetry is generated. Pure empirical
|
||||
measurement, zero brain side-effect.
|
||||
|
||||
**v1 baseline runs in Mode A only.** Cleanest, fastest, lowest
|
||||
coordination cost.
|
||||
|
||||
### 5.2 Mode B — brain-routed (v2)
|
||||
|
||||
When v2 adds cross-node routing measurement, the harness drives
|
||||
calls to `https://cluster.weeyuga.com` and the brain forwards.
|
||||
Brain emits ground envelope on every dispatch.
|
||||
|
||||
**Convention proposed for Atlas + Luka:**
|
||||
|
||||
- Harness sends headers:
|
||||
- `X-Weeyuga-Test: true`
|
||||
- `X-Weeyuga-Benchmark-Run-Id: <uuid>`
|
||||
- `X-Weeyuga-Benchmark-Cell-Id: <id>`
|
||||
- `X-Weeyuga-Benchmark-Prompt-Id: <id>`
|
||||
- Brain copies header values into `metadata.test`,
|
||||
`metadata.benchmark_run_id`, etc. on every emitted envelope for
|
||||
this request.
|
||||
- Luka's dashboards default-filter `metadata.test:false OR
|
||||
NOT metadata.test:*`. A "show benchmark traffic" toggle flips
|
||||
the filter.
|
||||
|
||||
**Status:** proposed by Ben 2026-04-28; awaiting Atlas + Luka
|
||||
ratification before v2 lands. Until then, v1 stays Mode A.
|
||||
|
||||
### 5.3 Local ledger (always emitted, regardless of mode)
|
||||
|
||||
Independent of brain telemetry, the harness writes
|
||||
`docs/BENCHMARKS/runs/<benchmark_run_id>.jsonl` on the harness
|
||||
host (Mac). One JSON object per line; first line is the `meta`
|
||||
record (§1 per-run fields), subsequent lines are per-call records.
|
||||
|
||||
The local ledger is the **canonical source** for v1_BASELINE.md
|
||||
and any aggregation. Brain telemetry is a nice-to-have for
|
||||
cross-correlation in Kibana but is NOT load-bearing on the
|
||||
baseline numbers.
|
||||
|
||||
### 5.4 Coordination ratification needed
|
||||
|
||||
This convention is currently **unilateral** from Ben. Before Mode
|
||||
B ships:
|
||||
- Atlas confirms the brain copies `X-Weeyuga-Test*` headers into
|
||||
`metadata.*` on every envelope without breaking existing emit
|
||||
paths.
|
||||
- Luka adds the default `metadata.test` filter to all
|
||||
prod-facing dashboards (Cluster Health Overview / Mobile Chat
|
||||
Activity / Agent Telemetry / Error Funnel / Cluster Connectivity)
|
||||
and confirms the toggle works.
|
||||
- Nemanja ratifies that `metadata: flattened` is the right place
|
||||
(vs. extending `actor` mapping) — leaning yes per his §3.4 use
|
||||
of `flattened` for forward-compat.
|
||||
|
||||
A separate transcript dispatch carries this proposal. Until all
|
||||
three ack, v1 baseline runs Mode A only and leaves brain
|
||||
telemetry untouched.
|
||||
|
||||
---
|
||||
|
||||
## 6. Output format
|
||||
|
||||
### 6.1 Per-run JSONL ledger
|
||||
|
||||
`docs/BENCHMARKS/runs/<benchmark_run_id>.jsonl`
|
||||
|
||||
Line 1 — `meta` record (per-run fields, §1).
|
||||
Lines 2..N — `call` records (per-call fields, §1) plus a
|
||||
`phase: "skipped"` line for any cell that failed availability.
|
||||
|
||||
Example (truncated):
|
||||
|
||||
```jsonl
|
||||
{"type":"meta","benchmark_run_id":"4e2a...","git_sha":"e2d6a6d","git_dirty":true,"harness_version":"1","started_at_utc":"2026-04-29T02:00:00Z","host":"slobodan-mac","load_avg_start":[1.2,1.5,1.4],"cells_planned":["mac:ollama:qwen3.5:0.8b","mac:llamacpp:qwen3.5:0.8b","pavilion:ollama:qwen3.5:0.8b","pavilion:llamacpp:qwen3.5:0.8b"]}
|
||||
{"type":"call","cell_id":"mac:llamacpp:qwen3.5:0.8b","prompt_id":"P-EASY","phase":"cold","run_idx":0,"first_delta_ms":2810,"total_duration_ms":2840,"prompt_tokens":11,"completion_tokens":2,"tokens_per_sec":66.7,"finish_reason":"stop","backend":"llamacpp","error":null}
|
||||
{"type":"call","cell_id":"mac:llamacpp:qwen3.5:0.8b","prompt_id":"P-EASY","phase":"warm","run_idx":0,"first_delta_ms":120,"total_duration_ms":150,"prompt_tokens":11,"completion_tokens":2,"tokens_per_sec":66.7,"finish_reason":"stop","backend":"llamacpp","error":null}
|
||||
```
|
||||
|
||||
Aggregator (`scripts/benchmarks/aggregate.py`) reads the JSONL
|
||||
and emits the v1_BASELINE.md table. Re-running the aggregator on
|
||||
the same JSONL is deterministic and idempotent.
|
||||
|
||||
### 6.2 Markdown table shape (v1_BASELINE.md)
|
||||
|
||||
Per cell, two stacked tables: cold and warm. Per (cell, prompt),
|
||||
one row with `first_delta_ms`, `total_duration_ms`, `completion_tokens`,
|
||||
`tokens_per_sec`. Across-prompts summary at the end of each
|
||||
cell's section. The cell matrix appears as a top-level summary
|
||||
table (TTFT-warm-p50 only) above the per-cell detail.
|
||||
|
||||
This shape stays fixed across baselines so v1 → v2 → v3 diffs
|
||||
are mechanical. Adding a new metric goes at the end of the per-cell
|
||||
table; never reorder existing columns.
|
||||
|
||||
---
|
||||
|
||||
## 7. Regression thresholds
|
||||
|
||||
A run is flagged on the bus when, vs. the most recent baseline:
|
||||
|
||||
| Metric | Threshold | Severity |
|
||||
|---|---|---|
|
||||
| `warm.first_delta_ms.p50` (any cell) | ≥ 30% slower | regression — bus heads-up |
|
||||
| `warm.total_duration_ms.p50` (any cell) | ≥ 30% slower | regression — bus heads-up |
|
||||
| `warm.success_rate` (any cell) | < 0.95 | red flag — investigate before publishing |
|
||||
| `warm.tokens_per_sec.mean` (any cell) | ≥ 30% lower | regression — bus heads-up |
|
||||
| **Improvement** ≥ 30% on any of the above | wins — bus heads-up | publish |
|
||||
|
||||
30% is a deliberately wide threshold for v1 because run-to-run
|
||||
variance on shared hardware (Mac M1 also runs Sloba's work) can
|
||||
easily be 15-20%. Tighten when N is bumped from 5 to 20.
|
||||
|
||||
A regression doesn't auto-block a release; it triggers the
|
||||
operator question "is this a real regression or a load-day blip?"
|
||||
and prompts a re-run with `N=20`.
|
||||
|
||||
---
|
||||
|
||||
## 8. Reproducibility checklist
|
||||
|
||||
Before a baseline run is published, every entry in this checklist
|
||||
must hold. If any fails, the JSONL is shipped but the
|
||||
v1_BASELINE.md is annotated `unreliable: <reason>` rather than
|
||||
written to be read as canonical.
|
||||
|
||||
- [ ] `git status` clean OR every dirty file documented in the run
|
||||
metadata (e.g. "ignored: M mobile/macos/Flutter/GeneratedPluginRegistrant.swift")
|
||||
- [ ] `git rev-parse HEAD` recorded
|
||||
- [ ] Harness version recorded
|
||||
- [ ] Each target's engine version recorded:
|
||||
- Ollama: `curl http://<node>:11434/api/version`
|
||||
- llama.cpp: `curl http://<node>:11436/health` (if exposed) or
|
||||
record the b-build from the operator config
|
||||
- [ ] Each target's model digest recorded:
|
||||
- Ollama: `curl http://<node>:11434/api/tags | jq '.models[]|select(.name=="<name>").digest'`
|
||||
- llama.cpp: GGUF SHA256 from operator config (Bane's Pavilion
|
||||
install records this in his message; Mac TBD)
|
||||
- [ ] Wall-clock window logged in heads-up message on bus
|
||||
- [ ] No competing benchmark runs going (only one harness across
|
||||
cluster at a time — even a different model on a different
|
||||
node — to keep the network noise floor predictable)
|
||||
- [ ] Sloba's prime-time avoided OR explicit authorization on the
|
||||
bus (Sam dispatch, or "go ahead" from Sloba in chat)
|
||||
|
||||
The harness itself enforces a subset:
|
||||
- Refuses to run if `git status` shows changes the operator hasn't
|
||||
acknowledged via `--allow-dirty`.
|
||||
- Refuses to run if `--for-publication` is set and any cell health
|
||||
check fails.
|
||||
- Records the start-time load average and refuses to start if
|
||||
`getloadavg()[0] > 4.0` unless `--force-load` is set (the Mac
|
||||
is too busy and numbers will be noisy).
|
||||
|
||||
---
|
||||
|
||||
## 9. Workflow — running a baseline
|
||||
|
||||
```bash
|
||||
# 1. Check the bus for heads-up window collisions
|
||||
cd /Users/slobodan/projects/WeeyugaWeb
|
||||
tail -50 coordination/CLAUDE_TRANSCRIPT.md
|
||||
|
||||
# 2. Post heads-up
|
||||
# (write coordination/messages/<utc>Z-benchmark-tester-ben-baseline-window.md
|
||||
# + transcript entry, commit + push)
|
||||
|
||||
# 3. Health-check targets
|
||||
python3 scripts/benchmarks/run_harness.py --probe
|
||||
|
||||
# 4. Smoke (1 cell, 1 prompt, 1 run) to validate end-to-end
|
||||
python3 scripts/benchmarks/run_harness.py --smoke --cells mac:llamacpp:qwen3.5:0.8b
|
||||
|
||||
# 5. Full v1 baseline
|
||||
python3 scripts/benchmarks/run_harness.py --full --cells-yaml scripts/benchmarks/cells.yaml --prompts-yaml scripts/benchmarks/prompts.yaml
|
||||
|
||||
# 6. Aggregate to markdown
|
||||
python3 scripts/benchmarks/aggregate.py docs/BENCHMARKS/runs/<run-id>.jsonl > docs/BENCHMARKS/v1_BASELINE.md
|
||||
|
||||
# 7. Commit + push the JSONL ledger AND the markdown together (per-run commit)
|
||||
git add docs/BENCHMARKS/runs/<run-id>.jsonl docs/BENCHMARKS/v1_BASELINE.md
|
||||
git commit -m "benchmark: v1 baseline run <run-id>"
|
||||
git push
|
||||
|
||||
# 8. Post bus message linking the result + a 1-paragraph framing for Janie
|
||||
```
|
||||
|
||||
Subsequent baselines follow the same flow with the harness writing
|
||||
a different `<run-id>.jsonl` per invocation. Old ledgers are
|
||||
preserved forever — they're the audit trail for "did this number
|
||||
move because of a code change or a load-day blip."
|
||||
|
||||
---
|
||||
|
||||
## 10. Coordination contract
|
||||
|
||||
| Who | What I owe them | What they owe me |
|
||||
|---|---|---|
|
||||
| **Sam** | Per-deliverable transcript entries + weekly Mon "regressions/improvements" digest | Cross-cutting decisions; spawn coordination |
|
||||
| **Nemanja** | Metric set ratification; cell matrix sanity-check; field-naming convention review | Authoritative ground envelope schema; ratifying `metadata.*` extension |
|
||||
| **Atlas** | Header convention proposal; Mode-B test traffic scoped + visible | Brain copies `X-Weeyuga-Test*` → `metadata.*`; informs me on emit-path changes that affect harness |
|
||||
| **Luka** | Heads-up before any run (so his dashboards aren't read during noisy windows) | Default `metadata.test:false` filter on prod dashboards; "show benchmark traffic" toggle; query-side help |
|
||||
| **Bane / Viktor** | Heads-up before Pavilion / Predator runs; idle-coordination on long runs | Engine-version + model-digest reads on demand; infra-stability heads-up |
|
||||
| **Pablo / Filip** | Heads-up if a measurement window overlaps their device-test windows | Awareness of when the harness is generating mobile-shape traffic |
|
||||
| **Janie** | Raw numbers + a 1-paragraph framing per run (what's interesting here) | Storytelling — turning numbers into Janie blog posts |
|
||||
| **Sloba** | Numbers when asked; standing offer | Authorization for prime-time runs; prompt freezes (don't change P-EASY/P-MEDIUM/P-HARD without ack) |
|
||||
|
||||
---
|
||||
|
||||
## 11. Hard rules I commit to
|
||||
|
||||
1. **`metadata.test=true` (or Mode-A direct-engine) on every benchmark
|
||||
call.** No silent benchmark traffic in production dashboards. Ever.
|
||||
2. **Reproducibility metadata is not optional.** Numbers without
|
||||
git SHA + env + load-avg + harness version are deleted, not
|
||||
shipped.
|
||||
3. **Frozen prompts.** P-EASY / P-MEDIUM / P-HARD never change once
|
||||
v1 ships. New prompts get new IDs.
|
||||
4. **No prime-time runs without bus heads-up.** Pavilion runs go
|
||||
between 02:00-05:00Z by default unless authorized otherwise.
|
||||
Mac runs that take more than 30 s of cumulative load coordinate
|
||||
with whatever Sloba's doing.
|
||||
5. **Cluster impact ≤ 1 harness at a time.** Even running on
|
||||
different nodes, two harnesses running simultaneously add network
|
||||
noise floor that breaks reproducibility. Serialize.
|
||||
6. **Per-run commits** of both the JSONL ledger AND the
|
||||
v1_BASELINE.md so bisect on numbers is mechanical.
|
||||
7. **No fork of the harness format.** New metrics extend the
|
||||
per-call record; never reorder or rename existing fields.
|
||||
Aggregator reads tolerate-old / require-new.
|
||||
8. **No destructive load tests** without Sam dispatch. The harness
|
||||
runs ≤ 1 sustained call per second per cell by default; bursts
|
||||
come from bursting cells in parallel only when explicitly
|
||||
authorized.
|
||||
|
||||
---
|
||||
|
||||
## 12. What's deliberately not here (v2+ backlog)
|
||||
|
||||
- **Parallel-thread capacity tests.** Need careful scoping per node
|
||||
(1050 thrashes hard with 4 parallel; M1 unified RAM contends with
|
||||
user OS).
|
||||
- **Cross-node routing cost.** Needs Atlas's brain header
|
||||
convention ratified.
|
||||
- **GPU memory peak / CPU utilization sampling.** Needs SSH-driven
|
||||
on-target samplers.
|
||||
- **Network bytes between harness and target.** `tcpdump -nn host
|
||||
<ip>` per run, easy to add when first cross-node run goes.
|
||||
- **Tiny-model landscape exploration** (qwen2.5:0.5b vs gemma:2b
|
||||
vs phi3:mini vs others on M1 / 1050 / 1070 / CPU). Sam queued
|
||||
this as `docs/RESEARCH/SUB_HALF_SECOND_MODEL_LANDSCAPE.md`,
|
||||
feeding Atlas's personality engine work.
|
||||
- **Sustained-load endurance** (1 hour at constant rate). Catches
|
||||
thermal throttling and Ollama queue grow.
|
||||
- **Heavy-model coverage** (qwen3:4b / qwen3:9b / qwen3:35b-a3b on
|
||||
the nodes that can run them).
|
||||
- **Embedding / vector / image-encoder benchmarks.** Needed for
|
||||
Atlas's personality engine if it adds non-LLM micro-calls.
|
||||
|
||||
Each is a real gap; v1 ships without them on purpose. The shape
|
||||
above accommodates all of them as additive extensions.
|
||||
|
||||
---
|
||||
|
||||
_Owner: mac/benchmark-tester-ben. Created 2026-04-28._
|
||||
662
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/metadata.json
Normal file
662
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/metadata.json
Normal file
@@ -0,0 +1,662 @@
|
||||
{
|
||||
"id": "09d8fbde-0008-49bb-99da-03eeaca72be1",
|
||||
"title": "Predator trio bench \u2014 09d8fbde-0008-49bb-99da-03eeaca72be1",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-trio-1",
|
||||
"model_family": "gemma/granite/qwen3.5",
|
||||
"model_sizes": [
|
||||
"granite-4.1:8b",
|
||||
"gemma-4:e4b-it",
|
||||
"qwen3.5:9b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "includes prefill time, so true generation rate is slightly higher. Use llama-bench's",
|
||||
"summary_md_path": "runs/09d8fbde-0008-49bb-99da-03eeaca72be1.md",
|
||||
"raw_jsonl_path": "runs/09d8fbde-0008-49bb-99da-03eeaca72be1.jsonl",
|
||||
"log_path": "runs/09d8fbde-0008-49bb-99da-03eeaca72be1.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:granite-4.1:8b-q4km",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 8831.33,
|
||||
"duration_ms_p50": 6403.0,
|
||||
"tokens_per_sec_mean": 13.49,
|
||||
"tokens_per_sec_max": 15.75
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 9888.42,
|
||||
"duration_ms_p50": 8199.0,
|
||||
"tokens_per_sec_mean": 21.82,
|
||||
"tokens_per_sec_max": 23.66
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 37136.33,
|
||||
"duration_ms_p50": 35324.5,
|
||||
"tokens_per_sec_mean": 14.04,
|
||||
"tokens_per_sec_max": 14.57
|
||||
}
|
||||
],
|
||||
"n_calls_total": 42,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T16:01:52Z",
|
||||
"tags": [
|
||||
"gemma",
|
||||
"granite",
|
||||
"predator",
|
||||
"qwen3",
|
||||
"qwen3.5",
|
||||
"trio"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:granite-4.1:8b-q4km",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 8831.33,
|
||||
"duration_ms_p50": 6403.0,
|
||||
"tokens_per_sec_mean": 13.49,
|
||||
"tokens_per_sec_max": 15.75,
|
||||
"calls": [
|
||||
{
|
||||
"type": "vram_snapshot",
|
||||
"model_key": "granite",
|
||||
"cell_id": "predator:llamacpp:granite-4.1:8b-q4km",
|
||||
"raw": "5990, 40, 6144"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "granite",
|
||||
"cell_id": "predator:llamacpp:granite-4.1:8b-q4km",
|
||||
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"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 5514,
|
||||
"prompt_tokens": 11,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 11.606819006166122,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 4659,
|
||||
"prompt_tokens": 11,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 13.736853402017601,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 4633,
|
||||
"prompt_tokens": 11,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 13.813943449169004,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 4624,
|
||||
"prompt_tokens": 11,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 13.84083044982699,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 35678,
|
||||
"prompt_tokens": 24,
|
||||
"completion_tokens": 512,
|
||||
"tokens_per_sec": 14.350580189472506,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 35311,
|
||||
"prompt_tokens": 24,
|
||||
"completion_tokens": 512,
|
||||
"tokens_per_sec": 14.499730962023166,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 35338,
|
||||
"prompt_tokens": 24,
|
||||
"completion_tokens": 512,
|
||||
"tokens_per_sec": 14.488652442130284,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 35235,
|
||||
"prompt_tokens": 24,
|
||||
"completion_tokens": 512,
|
||||
"tokens_per_sec": 14.531006101887328,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 73737,
|
||||
"prompt_tokens": 32,
|
||||
"completion_tokens": 1024,
|
||||
"tokens_per_sec": 13.887193674817256,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 70291,
|
||||
"prompt_tokens": 32,
|
||||
"completion_tokens": 1024,
|
||||
"tokens_per_sec": 14.568010129319545,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 70266,
|
||||
"prompt_tokens": 32,
|
||||
"completion_tokens": 1024,
|
||||
"tokens_per_sec": 14.573193294054022,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 70350,
|
||||
"prompt_tokens": 32,
|
||||
"completion_tokens": 1024,
|
||||
"tokens_per_sec": 14.555792466240229,
|
||||
"finish_reason": "length",
|
||||
"error": null
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "09d8fbde-0008-49bb-99da-03eeaca72be1",
|
||||
"harness_version": "predator-trio-1",
|
||||
"started_at_utc": "2026-05-04T16:01:52Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"models": {
|
||||
"granite": {
|
||||
"cell_id": "predator:llamacpp:granite-4.1:8b-q4km",
|
||||
"gguf": "granite-4.1-8b-Q4_K_M.gguf"
|
||||
},
|
||||
"gemma": {
|
||||
"cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km",
|
||||
"gguf": "gemma-4-E4B-it-Q4_K_M.gguf"
|
||||
},
|
||||
"qwen": {
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km",
|
||||
"gguf": "Qwen3.5-9B-Q4_K_M.gguf"
|
||||
}
|
||||
},
|
||||
"node": "predator",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://10.8.0.7:11436"
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
43
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/run.jsonl
Normal file
43
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/run.jsonl
Normal file
@@ -0,0 +1,43 @@
|
||||
{"type": "meta", "benchmark_run_id": "09d8fbde-0008-49bb-99da-03eeaca72be1", "harness_version": "predator-trio-1", "started_at_utc": "2026-05-04T16:01:52Z", "host": "Slobodans-MacBook-Air.local", "models": {"granite": {"cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "gguf": "granite-4.1-8b-Q4_K_M.gguf"}, "gemma": {"cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "gguf": "gemma-4-E4B-it-Q4_K_M.gguf"}, "qwen": {"cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "gguf": "Qwen3.5-9B-Q4_K_M.gguf"}}, "node": "predator", "engine": "llamacpp", "predator_target_url": "http://10.8.0.7:11436"}
|
||||
{"type": "vram_snapshot", "model_key": "granite", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "raw": "5990, 40, 6144"}
|
||||
{"type": "llama_bench", "model_key": "granite", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| granite 3B Q4_K - Medium | 4.98 GiB | 8.79 B | CUDA | 99 | pp512 | 142.89 \u00b1 0.51 |\r\n| granite 3B Q4_K - Medium | 4.98 GiB | 8.79 B | CUDA | 99 | tg128 | 12.19 \u00b1 0.04 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 1782, "prompt_tokens": 9, "completion_tokens": 10, "tokens_per_sec": 5.611672278338945, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 919, "prompt_tokens": 9, "completion_tokens": 10, "tokens_per_sec": 10.88139281828074, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 917, "prompt_tokens": 9, "completion_tokens": 10, "tokens_per_sec": 10.905125408942203, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 868, "prompt_tokens": 9, "completion_tokens": 10, "tokens_per_sec": 11.52073732718894, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 6095, "prompt_tokens": 22, "completion_tokens": 88, "tokens_per_sec": 14.438063986874488, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 6204, "prompt_tokens": 22, "completion_tokens": 94, "tokens_per_sec": 15.151515151515152, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 6989, "prompt_tokens": 22, "completion_tokens": 106, "tokens_per_sec": 15.16669051366433, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 6602, "prompt_tokens": 22, "completion_tokens": 102, "tokens_per_sec": 15.44986367767343, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 20275, "prompt_tokens": 28, "completion_tokens": 317, "tokens_per_sec": 15.635018495684342, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 18761, "prompt_tokens": 28, "completion_tokens": 295, "tokens_per_sec": 15.72410852299984, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 18910, "prompt_tokens": 28, "completion_tokens": 297, "tokens_per_sec": 15.70597567424643, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:granite-4.1:8b-q4km", "model_key": "granite", "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 17654, "prompt_tokens": 28, "completion_tokens": 278, "tokens_per_sec": 15.747139458479666, "finish_reason": "stop", "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "gemma", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "raw": "4408, 1622, 6144"}
|
||||
{"type": "llama_bench", "model_key": "gemma", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| gemma4 E4B Q4_K - Medium | 4.62 GiB | 7.52 B | CUDA | 99 | pp512 | 498.70 \u00b1 0.89 |\r\n| gemma4 E4B Q4_K - Medium | 4.62 GiB | 7.52 B | CUDA | 99 | tg128 | 24.53 \u00b1 0.06 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 3519, "prompt_tokens": 17, "completion_tokens": 64, "tokens_per_sec": 18.186984938903098, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 851, "prompt_tokens": 17, "completion_tokens": 12, "tokens_per_sec": 14.10105757931845, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 2918, "prompt_tokens": 17, "completion_tokens": 64, "tokens_per_sec": 21.93283070596299, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 2850, "prompt_tokens": 17, "completion_tokens": 64, "tokens_per_sec": 22.45614035087719, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 3858, "prompt_tokens": 29, "completion_tokens": 86, "tokens_per_sec": 22.291342664593053, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 4140, "prompt_tokens": 29, "completion_tokens": 90, "tokens_per_sec": 21.73913043478261, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 12258, "prompt_tokens": 29, "completion_tokens": 287, "tokens_per_sec": 23.413281122532226, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 13034, "prompt_tokens": 29, "completion_tokens": 308, "tokens_per_sec": 23.63050483351235, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 28440, "prompt_tokens": 37, "completion_tokens": 672, "tokens_per_sec": 23.628691983122362, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 16230, "prompt_tokens": 37, "completion_tokens": 384, "tokens_per_sec": 23.65988909426987, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 15838, "prompt_tokens": 37, "completion_tokens": 371, "tokens_per_sec": 23.424674832680896, "finish_reason": "stop", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:gemma-4:e4b-it-q4km", "model_key": "gemma", "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 14725, "prompt_tokens": 37, "completion_tokens": 344, "tokens_per_sec": 23.3616298811545, "finish_reason": "stop", "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "qwen", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "raw": "5954, 76, 6144"}
|
||||
{"type": "llama_bench", "model_key": "qwen", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | pp512 | 63.64 \u00b1 0.14 |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | tg128 | 7.43 \u00b1 0.01 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 5514, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 11.606819006166122, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 4659, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 13.736853402017601, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 4633, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 13.813943449169004, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 4624, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 13.84083044982699, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 35678, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 14.350580189472506, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 35311, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 14.499730962023166, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 35338, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 14.488652442130284, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 35235, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 14.531006101887328, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 73737, "prompt_tokens": 32, "completion_tokens": 1024, "tokens_per_sec": 13.887193674817256, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 70291, "prompt_tokens": 32, "completion_tokens": 1024, "tokens_per_sec": 14.568010129319545, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 70266, "prompt_tokens": 32, "completion_tokens": 1024, "tokens_per_sec": 14.573193294054022, "finish_reason": "length", "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km", "model_key": "qwen", "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 70350, "prompt_tokens": 32, "completion_tokens": 1024, "tokens_per_sec": 14.555792466240229, "finish_reason": "length", "error": null}
|
||||
67
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/run.log
Normal file
67
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/run.log
Normal file
@@ -0,0 +1,67 @@
|
||||
[16:01:49Z] === predator-trio-bench run_id=09d8fbde-0008-49bb-99da-03eeaca72be1 ===
|
||||
[16:01:49Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/09d8fbde-0008-49bb-99da-03eeaca72be1.jsonl
|
||||
[16:01:49Z] On-device mirror: predator:D:\WeeyugaBench\runs\09d8fbde-0008-49bb-99da-03eeaca72be1\
|
||||
[16:01:49Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\09d8fbde-0008-49bb-99da-03eeaca72be1
|
||||
[16:01:52Z] >>> MODEL: granite
|
||||
[16:01:52Z] Stopping any running llama-server on Predator...
|
||||
[16:01:55Z] Starting llama-server for granite with granite-4.1-8b-Q4_K_M.gguf...
|
||||
[16:01:59Z] Waiting for llama-server (granite) to come up...
|
||||
[16:03:09Z] llama-server up after 59s
|
||||
[16:03:11Z] Running llama-bench for granite...
|
||||
[16:04:52Z] Running prompts for granite (cold + 3 warm per prompt)...
|
||||
[16:04:52Z] prompt=hello cold
|
||||
[16:04:53Z] prompt=hello warm 1
|
||||
[16:04:54Z] prompt=hello warm 2
|
||||
[16:04:56Z] prompt=hello warm 3
|
||||
[16:04:56Z] prompt=P-MEDIUM cold
|
||||
[16:05:03Z] prompt=P-MEDIUM warm 1
|
||||
[16:05:09Z] prompt=P-MEDIUM warm 2
|
||||
[16:05:16Z] prompt=P-MEDIUM warm 3
|
||||
[16:05:23Z] prompt=P-HARD cold
|
||||
[16:05:43Z] prompt=P-HARD warm 1
|
||||
[16:06:02Z] prompt=P-HARD warm 2
|
||||
[16:06:21Z] prompt=P-HARD warm 3
|
||||
[16:06:39Z] >>> MODEL: gemma
|
||||
[16:06:39Z] Stopping any running llama-server on Predator...
|
||||
[16:06:42Z] Starting llama-server for gemma with gemma-4-E4B-it-Q4_K_M.gguf...
|
||||
[16:06:45Z] Waiting for llama-server (gemma) to come up...
|
||||
[16:07:30Z] llama-server up after 37s
|
||||
[16:07:31Z] Running llama-bench for gemma...
|
||||
[16:08:12Z] Running prompts for gemma (cold + 3 warm per prompt)...
|
||||
[16:08:12Z] prompt=hello cold
|
||||
[16:08:16Z] prompt=hello warm 1
|
||||
[16:08:17Z] prompt=hello warm 2
|
||||
[16:08:20Z] prompt=hello warm 3
|
||||
[16:08:23Z] prompt=P-MEDIUM cold
|
||||
[16:08:27Z] prompt=P-MEDIUM warm 1
|
||||
[16:08:31Z] prompt=P-MEDIUM warm 2
|
||||
[16:08:44Z] prompt=P-MEDIUM warm 3
|
||||
[16:08:57Z] prompt=P-HARD cold
|
||||
[16:09:25Z] prompt=P-HARD warm 1
|
||||
[16:09:42Z] prompt=P-HARD warm 2
|
||||
[16:09:58Z] prompt=P-HARD warm 3
|
||||
[16:10:12Z] >>> MODEL: qwen
|
||||
[16:10:12Z] Stopping any running llama-server on Predator...
|
||||
[16:10:16Z] Starting llama-server for qwen with Qwen3.5-9B-Q4_K_M.gguf...
|
||||
[16:10:19Z] Waiting for llama-server (qwen) to come up...
|
||||
[16:11:16Z] llama-server up after 49s
|
||||
[16:11:18Z] Running llama-bench for qwen...
|
||||
[16:13:48Z] Running prompts for qwen (cold + 3 warm per prompt)...
|
||||
[16:13:48Z] prompt=hello cold
|
||||
[16:13:53Z] prompt=hello warm 1
|
||||
[16:13:58Z] prompt=hello warm 2
|
||||
[16:14:03Z] prompt=hello warm 3
|
||||
[16:14:08Z] prompt=P-MEDIUM cold
|
||||
[16:14:44Z] prompt=P-MEDIUM warm 1
|
||||
[16:15:19Z] prompt=P-MEDIUM warm 2
|
||||
[16:15:55Z] prompt=P-MEDIUM warm 3
|
||||
[16:16:30Z] prompt=P-HARD cold
|
||||
[16:17:44Z] prompt=P-HARD warm 1
|
||||
[16:18:54Z] prompt=P-HARD warm 2
|
||||
[16:20:05Z] prompt=P-HARD warm 3
|
||||
[16:21:15Z] Stopping any running llama-server on Predator...
|
||||
[16:21:18Z] === bench complete ===
|
||||
[16:21:18Z] Synthesizing report...
|
||||
[16:21:18Z] Report: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/09d8fbde-0008-49bb-99da-03eeaca72be1.md
|
||||
[16:21:19Z] Mirroring run-dir to Predator...
|
||||
[16:21:25Z] On-device mirror complete: predator:D:\WeeyugaBench\runs\09d8fbde-0008-49bb-99da-03eeaca72be1\
|
||||
55
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/run.md
Normal file
55
runs/09d8fbde-0008-49bb-99da-03eeaca72be1/run.md
Normal file
@@ -0,0 +1,55 @@
|
||||
# Predator trio bench — 09d8fbde-0008-49bb-99da-03eeaca72be1
|
||||
|
||||
- Started: 2026-05-04T16:01:52Z
|
||||
- Host (driver): Slobodans-MacBook-Air.local
|
||||
- Node: predator (http://10.8.0.7:11436)
|
||||
- Engine: llamacpp
|
||||
- Harness: predator-trio-1
|
||||
|
||||
## Models
|
||||
|
||||
| Key | Cell | GGUF |
|
||||
|---|---|---|
|
||||
| granite | `predator:llamacpp:granite-4.1:8b-q4km` | `granite-4.1-8b-Q4_K_M.gguf` |
|
||||
| gemma | `predator:llamacpp:gemma-4:e4b-it-q4km` | `gemma-4-E4B-it-Q4_K_M.gguf` |
|
||||
| qwen | `predator:llamacpp:qwen3.5:9b-q4km` | `Qwen3.5-9B-Q4_K_M.gguf` |
|
||||
|
||||
## llama-bench synthetic throughput (pp512 + tg128)
|
||||
|
||||
| Model | pp512 (t/s) | tg128 (t/s) |
|
||||
|---|---|---|
|
||||
| granite | 142.89 | 12.19 |
|
||||
| gemma | 498.70 | 24.53 |
|
||||
| qwen | 63.64 | 7.43 |
|
||||
|
||||
## VRAM snapshot (used / free / total MB, post-load)
|
||||
|
||||
| Model | Used | Free | Total |
|
||||
|---|---|---|---|
|
||||
| granite | 5990 | 40 | 6144 |
|
||||
| gemma | 4408 | 1622 | 6144 |
|
||||
| qwen | 5954 | 76 | 6144 |
|
||||
|
||||
## Per-prompt latency + tokens/sec
|
||||
|
||||
| Model | Prompt | Cold dur (ms) | Cold tok/s | Warm tok/s mean | Warm dur p50 (ms) | Errors |
|
||||
|---|---|---|---|---|---|---|
|
||||
| granite | hello | 1782 | 5.6 | 11.1 | 917 | 0 |
|
||||
| granite | P-MEDIUM | 6095 | 14.4 | 15.3 | 6602 | 0 |
|
||||
| granite | P-HARD | 20275 | 15.6 | 15.7 | 18761 | 0 |
|
||||
| gemma | hello | 3519 | 18.2 | 19.5 | 2850 | 0 |
|
||||
| gemma | P-MEDIUM | 3858 | 22.3 | 22.9 | 12258 | 0 |
|
||||
| gemma | P-HARD | 28440 | 23.6 | 23.5 | 15838 | 0 |
|
||||
| qwen | hello | 5514 | 11.6 | 13.8 | 4633 | 0 |
|
||||
| qwen | P-MEDIUM | 35678 | 14.4 | 14.5 | 35311 | 0 |
|
||||
| qwen | P-HARD | 73737 | 13.9 | 14.6 | 70291 | 0 |
|
||||
|
||||
## Notes
|
||||
|
||||
- `phase=cold` is the FIRST request after llama-server boot; subsequent runs are `warm`.
|
||||
- `tokens_per_sec` here is `completion_tokens / (total_duration_ms / 1000)` —
|
||||
includes prefill time, so true generation rate is slightly higher. Use llama-bench's
|
||||
`tg128` for prefill-free generation throughput.
|
||||
- For Qwen3.5-9B Q4_K_M (~5.4 GB) on GTX 1060 6 GB: KV cache + model exceeds VRAM with
|
||||
ctx 4096, so partial CPU offload is expected. Compare against granite-4.1-8B (5.0 GB)
|
||||
which fits more comfortably and gemma-4-E4B (4.6 GB) which fits with room to spare.
|
||||
67
runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd/metadata.json
Normal file
67
runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd/metadata.json
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"id": "1bf57c9a-fd7a-49aa-90de-cd1907b15ddd",
|
||||
"title": "vps50-gemma-e4b-1 \u2014 gemma on vps50",
|
||||
"date": "2026-05-05",
|
||||
"hardware": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"harness": "vps50-gemma-e4b-1",
|
||||
"model_family": "gemma",
|
||||
"model_sizes": [
|
||||
"gemma-4-e4b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "no calls landed",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd.jsonl",
|
||||
"log_path": "runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-e4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-05T03:07:13Z",
|
||||
"tags": [
|
||||
"gemma",
|
||||
"vps50"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-e4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "1bf57c9a-fd7a-49aa-90de-cd1907b15ddd",
|
||||
"harness_version": "vps50-gemma-e4b-1",
|
||||
"started_at_utc": "2026-05-05T03:07:13Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://81.17.99.14:11436",
|
||||
"purpose": "Sloba 2026-05-05: 'i want the same gemma 4 we have on predator on vps50 so we can compare them'. Direct CPU-vs-GPU comparison vs Predator trio bench 09d8fbde where gemma-4-E4B-it Q4_K_M scored 22.9 t/s warm P-MEDIUM / 23.5 P-HARD on GTX 1060.",
|
||||
"models": [
|
||||
"gemma-4-e4b"
|
||||
],
|
||||
"ngl": 0,
|
||||
"ctx": 32768
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
1
runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd/run.jsonl
Normal file
1
runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd/run.jsonl
Normal file
@@ -0,0 +1 @@
|
||||
{"type": "meta", "benchmark_run_id": "1bf57c9a-fd7a-49aa-90de-cd1907b15ddd", "harness_version": "vps50-gemma-e4b-1", "started_at_utc": "2026-05-05T03:07:13Z", "host": "Slobodans-MacBook-Air.local", "node": "vps50", "engine": "llamacpp", "predator_target_url": "http://81.17.99.14:11436", "purpose": "Sloba 2026-05-05: 'i want the same gemma 4 we have on predator on vps50 so we can compare them'. Direct CPU-vs-GPU comparison vs Predator trio bench 09d8fbde where gemma-4-E4B-it Q4_K_M scored 22.9 t/s warm P-MEDIUM / 23.5 P-HARD on GTX 1060.", "models": ["gemma-4-e4b"], "ngl": 0, "ctx": 32768}
|
||||
322
runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd/run.log
Normal file
322
runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd/run.log
Normal file
@@ -0,0 +1,322 @@
|
||||
[03:07:11Z] === vps50-gemma-e4b run_id=1bf57c9a-fd7a-49aa-90de-cd1907b15ddd ===
|
||||
[03:07:11Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/1bf57c9a-fd7a-49aa-90de-cd1907b15ddd.jsonl
|
||||
[03:07:13Z] Polling for gemma-4-E4B-it-Q4_K_M.gguf on VPS50 + waiting for port 11436 to be free...
|
||||
[03:07:18Z] poll 1/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:07:54Z] poll 2/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:08:28Z] poll 3/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:09:05Z] poll 4/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:09:38Z] poll 5/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:10:13Z] poll 6/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:10:47Z] poll 7/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:11:24Z] poll 8/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:11:58Z] poll 9/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:12:33Z] poll 10/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:13:07Z] poll 11/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:13:42Z] poll 12/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:14:16Z] poll 13/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:14:54Z] poll 14/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:15:28Z] poll 15/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:16:03Z] poll 16/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:16:36Z] poll 17/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:17:14Z] poll 18/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:17:49Z] poll 19/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:18:26Z] poll 20/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:18:59Z] poll 21/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:19:35Z] poll 22/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:20:09Z] poll 23/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:20:43Z] poll 24/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:21:18Z] poll 25/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:21:52Z] poll 26/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:22:25Z] poll 27/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:23:01Z] poll 28/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:23:35Z] poll 29/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:24:08Z] poll 30/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:24:43Z] poll 31/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:25:17Z] poll 32/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:25:51Z] poll 33/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:26:27Z] poll 34/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:27:00Z] poll 35/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:27:37Z] poll 36/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:28:13Z] poll 37/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:28:47Z] poll 38/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:29:23Z] poll 39/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:29:59Z] poll 40/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:30:33Z] poll 41/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:31:08Z] poll 42/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:31:42Z] poll 43/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:32:19Z] poll 44/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:32:53Z] poll 45/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:33:28Z] poll 46/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:34:02Z] poll 47/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:34:40Z] poll 48/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:35:15Z] poll 49/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:35:49Z] poll 50/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:36:25Z] poll 51/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:36:59Z] poll 52/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:37:35Z] poll 53/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:38:13Z] poll 54/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:38:46Z] poll 55/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:39:23Z] poll 56/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:39:57Z] poll 57/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:40:33Z] poll 58/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:41:08Z] poll 59/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:41:41Z] poll 60/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:42:15Z] poll 61/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:42:51Z] poll 62/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:43:25Z] poll 63/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:44:01Z] poll 64/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:44:35Z] poll 65/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:45:15Z] poll 66/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:45:50Z] poll 67/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:46:26Z] poll 68/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:46:59Z] poll 69/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:47:34Z] poll 70/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:48:08Z] poll 71/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:48:43Z] poll 72/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:49:16Z] poll 73/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:49:52Z] poll 74/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:50:28Z] poll 75/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:51:02Z] poll 76/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:51:37Z] poll 77/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:52:11Z] poll 78/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:52:44Z] poll 79/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:53:19Z] poll 80/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:53:53Z] poll 81/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:54:28Z] poll 82/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:55:03Z] poll 83/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:55:41Z] poll 84/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:56:16Z] poll 85/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:56:51Z] poll 86/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:57:28Z] poll 87/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:58:06Z] poll 88/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:58:41Z] poll 89/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:59:18Z] poll 90/720: gguf=4.64 GB, llama-server=busy
|
||||
[03:59:51Z] poll 91/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:00:26Z] poll 92/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:01:04Z] poll 93/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:01:40Z] poll 94/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:02:14Z] poll 95/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:02:48Z] poll 96/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:03:23Z] poll 97/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:03:59Z] poll 98/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:04:34Z] poll 99/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:05:09Z] poll 100/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:05:46Z] poll 101/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:06:21Z] poll 102/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:06:55Z] poll 103/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:07:30Z] poll 104/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:08:06Z] poll 105/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:08:41Z] poll 106/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:09:15Z] poll 107/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:09:53Z] poll 108/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:10:27Z] poll 109/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:11:04Z] poll 110/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:11:39Z] poll 111/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:12:14Z] poll 112/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:12:48Z] poll 113/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:13:22Z] poll 114/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:13:57Z] poll 115/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:14:31Z] poll 116/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:15:07Z] poll 117/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:15:44Z] poll 118/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:16:18Z] poll 119/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:16:53Z] poll 120/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:17:27Z] poll 121/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:18:08Z] poll 122/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:18:41Z] poll 123/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:19:18Z] poll 124/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:19:50Z] poll 125/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:20:25Z] poll 126/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:20:59Z] poll 127/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:21:35Z] poll 128/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:22:10Z] poll 129/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:22:45Z] poll 130/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:23:18Z] poll 131/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:23:53Z] poll 132/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:24:28Z] poll 133/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:25:10Z] poll 134/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:25:44Z] poll 135/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:26:19Z] poll 136/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:26:53Z] poll 137/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:27:30Z] poll 138/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:28:03Z] poll 139/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:28:38Z] poll 140/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:29:12Z] poll 141/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:29:47Z] poll 142/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:30:20Z] poll 143/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:30:54Z] poll 144/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:31:28Z] poll 145/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:32:03Z] poll 146/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:32:37Z] poll 147/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:33:12Z] poll 148/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:33:46Z] poll 149/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:34:21Z] poll 150/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:34:56Z] poll 151/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:35:33Z] poll 152/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:36:09Z] poll 153/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:36:44Z] poll 154/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:37:19Z] poll 155/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:37:55Z] poll 156/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:38:29Z] poll 157/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:39:05Z] poll 158/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:39:42Z] poll 159/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:40:18Z] poll 160/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:40:53Z] poll 161/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:41:29Z] poll 162/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:42:03Z] poll 163/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:42:39Z] poll 164/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:43:12Z] poll 165/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:43:47Z] poll 166/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:44:23Z] poll 167/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:45:06Z] poll 168/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:45:39Z] poll 169/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:46:15Z] poll 170/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:46:48Z] poll 171/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:47:22Z] poll 172/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:47:55Z] poll 173/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:48:29Z] poll 174/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:49:03Z] poll 175/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:49:37Z] poll 176/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:50:13Z] poll 177/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:50:48Z] poll 178/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:51:21Z] poll 179/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:51:57Z] poll 180/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:52:30Z] poll 181/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:53:06Z] poll 182/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:53:43Z] poll 183/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:54:16Z] poll 184/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:54:50Z] poll 185/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:55:26Z] poll 186/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:55:59Z] poll 187/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:56:35Z] poll 188/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:57:09Z] poll 189/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:57:45Z] poll 190/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:58:18Z] poll 191/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:58:54Z] poll 192/720: gguf=4.64 GB, llama-server=busy
|
||||
[04:59:27Z] poll 193/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:00:01Z] poll 194/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:00:35Z] poll 195/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:01:10Z] poll 196/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:01:44Z] poll 197/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:02:19Z] poll 198/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:02:53Z] poll 199/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:03:26Z] poll 200/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:04:00Z] poll 201/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:04:36Z] poll 202/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:05:12Z] poll 203/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:05:47Z] poll 204/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:06:23Z] poll 205/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:06:58Z] poll 206/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:07:31Z] poll 207/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:08:06Z] poll 208/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:08:39Z] poll 209/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:09:13Z] poll 210/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:09:47Z] poll 211/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:10:22Z] poll 212/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:10:56Z] poll 213/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:11:31Z] poll 214/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:12:06Z] poll 215/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:12:41Z] poll 216/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:13:15Z] poll 217/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:13:49Z] poll 218/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:14:25Z] poll 219/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:15:04Z] poll 220/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:15:39Z] poll 221/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:16:14Z] poll 222/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:16:47Z] poll 223/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:17:30Z] poll 224/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:18:06Z] poll 225/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:18:40Z] poll 226/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:19:14Z] poll 227/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:19:48Z] poll 228/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:20:23Z] poll 229/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:20:58Z] poll 230/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:21:32Z] poll 231/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:22:07Z] poll 232/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:22:41Z] poll 233/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:23:15Z] poll 234/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:23:49Z] poll 235/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:24:25Z] poll 236/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:24:59Z] poll 237/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:25:34Z] poll 238/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:26:10Z] poll 239/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:26:45Z] poll 240/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:27:21Z] poll 241/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:27:56Z] poll 242/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:28:31Z] poll 243/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:29:07Z] poll 244/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:29:41Z] poll 245/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:30:18Z] poll 246/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:30:54Z] poll 247/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:31:29Z] poll 248/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:32:03Z] poll 249/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:32:38Z] poll 250/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:33:13Z] poll 251/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:33:50Z] poll 252/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:34:25Z] poll 253/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:35:08Z] poll 254/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:35:43Z] poll 255/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:36:23Z] poll 256/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:36:57Z] poll 257/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:37:37Z] poll 258/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:38:13Z] poll 259/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:39:04Z] poll 260/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:39:40Z] poll 261/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:40:43Z] poll 262/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:41:21Z] poll 263/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:42:13Z] poll 264/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:42:56Z] poll 265/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:43:36Z] poll 266/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:44:11Z] poll 267/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:44:44Z] poll 268/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:45:18Z] poll 269/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:45:55Z] poll 270/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:46:28Z] poll 271/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:47:04Z] poll 272/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:47:38Z] poll 273/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:48:16Z] poll 274/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:48:48Z] poll 275/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:49:23Z] poll 276/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:49:56Z] poll 277/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:50:33Z] poll 278/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:51:09Z] poll 279/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:51:44Z] poll 280/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:52:19Z] poll 281/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:52:53Z] poll 282/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:53:27Z] poll 283/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:54:04Z] poll 284/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:54:38Z] poll 285/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:55:13Z] poll 286/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:55:47Z] poll 287/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:56:24Z] poll 288/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:56:58Z] poll 289/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:57:31Z] poll 290/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:58:05Z] poll 291/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:58:40Z] poll 292/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:59:14Z] poll 293/720: gguf=4.64 GB, llama-server=busy
|
||||
[05:59:49Z] poll 294/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:00:23Z] poll 295/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:00:58Z] poll 296/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:01:33Z] poll 297/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:02:08Z] poll 298/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:02:44Z] poll 299/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:03:19Z] poll 300/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:03:53Z] poll 301/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:04:29Z] poll 302/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:05:02Z] poll 303/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:05:39Z] poll 304/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:06:24Z] poll 305/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:06:58Z] poll 306/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:07:34Z] poll 307/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:08:11Z] poll 308/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:08:45Z] poll 309/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:09:22Z] poll 310/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:09:55Z] poll 311/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:10:32Z] poll 312/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:11:09Z] poll 313/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:11:45Z] poll 314/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:12:17Z] poll 315/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:12:53Z] poll 316/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:13:26Z] poll 317/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:14:00Z] poll 318/720: gguf=4.64 GB, llama-server=busy
|
||||
[06:23:03Z] poll 319/720: gguf=4.64 GB, llama-server=busy
|
||||
139
runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822/metadata.json
Normal file
139
runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822/metadata.json
Normal file
@@ -0,0 +1,139 @@
|
||||
{
|
||||
"id": "212d6278-1b9b-45e9-8aae-7eed4d4ec822",
|
||||
"title": "vps50-cpu-matrix-1 \u2014 gemma/phi-4/qwen2.5/qwen3 on vps50",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"harness": "vps50-cpu-matrix-1",
|
||||
"model_family": "gemma/phi-4/qwen2.5/qwen3",
|
||||
"model_sizes": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "no calls landed",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822.jsonl",
|
||||
"log_path": "runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T23:39:53Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"cpu",
|
||||
"gemma",
|
||||
"matrix",
|
||||
"qwen2.5",
|
||||
"qwen3",
|
||||
"vps50"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "212d6278-1b9b-45e9-8aae-7eed4d4ec822",
|
||||
"harness_version": "vps50-cpu-matrix-1",
|
||||
"started_at_utc": "2026-05-04T23:39:53Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://81.17.99.14:11436",
|
||||
"node_specs": {
|
||||
"cpu": "AMD EPYC 16 vCPUs",
|
||||
"ram_gb": 62,
|
||||
"free_ram_gb": 57,
|
||||
"gpu": "none"
|
||||
},
|
||||
"purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)",
|
||||
"models": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b"
|
||||
]
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
5
runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822/run.jsonl
Normal file
5
runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822/run.jsonl
Normal file
@@ -0,0 +1,5 @@
|
||||
{"type": "meta", "benchmark_run_id": "212d6278-1b9b-45e9-8aae-7eed4d4ec822", "harness_version": "vps50-cpu-matrix-1", "started_at_utc": "2026-05-04T23:39:53Z", "host": "Slobodans-MacBook-Air.local", "node": "vps50", "engine": "llamacpp", "predator_target_url": "http://81.17.99.14:11436", "node_specs": {"cpu": "AMD EPYC 16 vCPUs", "ram_gb": 62, "free_ram_gb": 57, "gpu": "none"}, "purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)", "models": ["phi-4", "gemma-4-26b-a4b", "qwen3-30b-a3b", "qwen2.5-72b"]}
|
||||
{"type": "skipped", "model_key": "phi-4", "reason": "server_did_not_start"}
|
||||
{"type": "skipped", "model_key": "gemma-4-26b-a4b", "reason": "server_did_not_start"}
|
||||
{"type": "skipped", "model_key": "qwen3-30b-a3b", "reason": "server_did_not_start"}
|
||||
{"type": "skipped", "model_key": "qwen2.5-72b", "reason": "server_did_not_start"}
|
||||
48
runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822/run.log
Normal file
48
runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822/run.log
Normal file
@@ -0,0 +1,48 @@
|
||||
[23:39:41Z] === vps50-cpu-matrix run_id=212d6278-1b9b-45e9-8aae-7eed4d4ec822 ===
|
||||
[23:39:41Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822.jsonl
|
||||
[23:39:41Z] Plan: phi-4 gemma-4-26b-a4b qwen3-30b-a3b qwen2.5-72b (in size order)
|
||||
[23:39:41Z] Creating run-mirror dir on VPS50: /home/admin/WeeyugaBench/runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822
|
||||
[23:39:53Z] >>> CELL: phi-4 (phi-4-Q4_K_M.gguf)
|
||||
[23:39:53Z] Polling for phi-4-Q4_K_M.gguf (need >= 8.0 GB) on VPS50...
|
||||
[23:39:57Z] download progress: 5.71 GB (poll 1/240)
|
||||
[23:40:34Z] download progress: 5.96 GB (poll 2/240)
|
||||
[23:41:11Z] download progress: 6.09 GB (poll 3/240)
|
||||
[23:41:45Z] download progress: 6.50 GB (poll 4/240)
|
||||
[23:42:23Z] download progress: 6.82 GB (poll 5/240)
|
||||
[23:42:58Z] download progress: 7.20 GB (poll 6/240)
|
||||
[23:43:37Z] download progress: 7.60 GB (poll 7/240)
|
||||
[23:44:14Z] download progress: 7.79 GB (poll 8/240)
|
||||
[23:44:48Z] phi-4-Q4_K_M.gguf ready: 8.02 GB
|
||||
[23:44:48Z] Stopping llama-server on VPS50...
|
||||
[23:44:53Z] Starting llama-server with phi-4-Q4_K_M.gguf for cell 'phi-4'...
|
||||
[23:44:59Z] Waiting for llama-server (cell=phi-4, up to 15 min — large mmap on CPU box)...
|
||||
[00:30:34Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[00:30:34Z] Server failed to start; recording skip
|
||||
[00:30:34Z] >>> CELL: gemma-4-26b-a4b (gemma-4-26B-A4B-it-UD-Q4_K_M.gguf)
|
||||
[00:30:34Z] Polling for gemma-4-26B-A4B-it-UD-Q4_K_M.gguf (need >= 15.5 GB) on VPS50...
|
||||
[00:30:39Z] gemma-4-26B-A4B-it-UD-Q4_K_M.gguf ready: 15.78 GB
|
||||
[00:30:39Z] Stopping llama-server on VPS50...
|
||||
[00:30:41Z] Starting llama-server with gemma-4-26B-A4B-it-UD-Q4_K_M.gguf for cell 'gemma-4-26b-a4b'...
|
||||
[00:30:45Z] Waiting for llama-server (cell=gemma-4-26b-a4b, up to 15 min — large mmap on CPU box)...
|
||||
[01:16:27Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[01:16:27Z] Server failed to start; recording skip
|
||||
[01:16:27Z] >>> CELL: qwen3-30b-a3b (Qwen3-30B-A3B-Q4_K_M.gguf)
|
||||
[01:16:27Z] Polling for Qwen3-30B-A3B-Q4_K_M.gguf (need >= 17.0 GB) on VPS50...
|
||||
[01:16:30Z] Qwen3-30B-A3B-Q4_K_M.gguf ready: 17.28 GB
|
||||
[01:16:30Z] Stopping llama-server on VPS50...
|
||||
[01:16:33Z] Starting llama-server with Qwen3-30B-A3B-Q4_K_M.gguf for cell 'qwen3-30b-a3b'...
|
||||
[01:16:35Z] Waiting for llama-server (cell=qwen3-30b-a3b, up to 15 min — large mmap on CPU box)...
|
||||
[02:02:19Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[02:02:19Z] Server failed to start; recording skip
|
||||
[02:02:19Z] >>> CELL: qwen2.5-72b (Qwen2.5-72B-Instruct-Q4_K_M.gguf)
|
||||
[02:02:19Z] Polling for Qwen2.5-72B-Instruct-Q4_K_M.gguf (need >= 44.0 GB) on VPS50...
|
||||
[02:02:21Z] Qwen2.5-72B-Instruct-Q4_K_M.gguf ready: 44.16 GB
|
||||
[02:02:21Z] Stopping llama-server on VPS50...
|
||||
[02:02:24Z] Starting llama-server with Qwen2.5-72B-Instruct-Q4_K_M.gguf for cell 'qwen2.5-72b'...
|
||||
[02:02:26Z] Waiting for llama-server (cell=qwen2.5-72b, up to 15 min — large mmap on CPU box)...
|
||||
[02:48:11Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[02:48:11Z] Server failed to start; recording skip
|
||||
[02:48:11Z] Stopping llama-server on VPS50...
|
||||
[02:48:12Z] === bench complete ===
|
||||
[02:48:12Z] Mirroring run-dir to VPS50...
|
||||
[02:48:21Z] On-device mirror: vps50:/home/admin/WeeyugaBench/runs/212d6278-1b9b-45e9-8aae-7eed4d4ec822/
|
||||
279
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/metadata.json
Normal file
279
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/metadata.json
Normal file
@@ -0,0 +1,279 @@
|
||||
{
|
||||
"id": "23066b38-ea9c-4dd3-b2f5-32912a67fce4",
|
||||
"title": "Predator Qwen rerun \u2014 23066b38-ea9c-4dd3-b2f5-32912a67fce4",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"harness": "pavilion-a3b-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2xxs"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.",
|
||||
"summary_md_path": "runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4.md",
|
||||
"raw_jsonl_path": "runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4.jsonl",
|
||||
"log_path": "runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 72439.92,
|
||||
"duration_ms_p50": 57784.0,
|
||||
"tokens_per_sec_mean": 5.88,
|
||||
"tokens_per_sec_max": 8.19
|
||||
}
|
||||
],
|
||||
"n_calls_total": 14,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T22:11:43Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"pavilion",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 72439.92,
|
||||
"duration_ms_p50": 57784.0,
|
||||
"tokens_per_sec_mean": 5.88,
|
||||
"tokens_per_sec_max": 8.19,
|
||||
"calls": [
|
||||
{
|
||||
"type": "vram_snapshot",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"raw": "3842, 163, 4096"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 4095 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 4095 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1050, compute capability 6.1, VMM: yes, VRAM: 4095 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_XXS - 2.0625 bpw | 9.65 GiB | 30.53 B | CUDA | 12 | pp256 | 6.27 \u00b1 2.87 |\r\n| qwen3moe 30B.A3B IQ2_XXS - 2.0625 bpw | 9.65 GiB | 30.53 B | CUDA | 12 | tg64 | 4.90 \u00b1 0.67 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 226760,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 0.28223672605397776,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 273,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 15935,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 4.016316284907436,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 273,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 16991,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 3.7667000176564063,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 266,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 11898,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 5.379055303412338,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 283,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 132262,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 461,
|
||||
"tokens_per_sec": 3.4855060410397543,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1700,
|
||||
"content_chars": 607,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 61800,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 459,
|
||||
"tokens_per_sec": 7.427184466019418,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1693,
|
||||
"content_chars": 460,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 49471,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 405,
|
||||
"tokens_per_sec": 8.186614380141902,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1552,
|
||||
"content_chars": 460,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 44543,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 363,
|
||||
"tokens_per_sec": 8.149428641986395,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1344,
|
||||
"content_chars": 513,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 125661,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 742,
|
||||
"tokens_per_sec": 5.904775546907951,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1254,
|
||||
"content_chars": 1825,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 68390,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 547,
|
||||
"tokens_per_sec": 7.998245357508408,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1204,
|
||||
"content_chars": 1099,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 56872,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 456,
|
||||
"tokens_per_sec": 8.018005345336897,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 898,
|
||||
"content_chars": 1099,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"model_key": "qwen3-30b-a3b-pavilion",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 58696,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 467,
|
||||
"tokens_per_sec": 7.956249148153196,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 956,
|
||||
"content_chars": 983,
|
||||
"error": null
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "23066b38-ea9c-4dd3-b2f5-32912a67fce4",
|
||||
"harness_version": "pavilion-a3b-1",
|
||||
"started_at_utc": "2026-05-04T22:11:43Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"pavilion_target_url": "http://10.8.0.3:11437",
|
||||
"purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison",
|
||||
"models": {
|
||||
"qwen3-30b-a3b-pavilion": {
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf",
|
||||
"reasoning_budget": 500,
|
||||
"ngl": 12,
|
||||
"ctx": 2048,
|
||||
"note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
15
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/run.jsonl
Normal file
15
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/run.jsonl
Normal file
@@ -0,0 +1,15 @@
|
||||
{"type": "meta", "benchmark_run_id": "23066b38-ea9c-4dd3-b2f5-32912a67fce4", "harness_version": "pavilion-a3b-1", "started_at_utc": "2026-05-04T22:11:43Z", "host": "Slobodans-MacBook-Air.local", "node": "pavilion", "engine": "llamacpp", "pavilion_target_url": "http://10.8.0.3:11437", "purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison", "models": {"qwen3-30b-a3b-pavilion": {"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf", "reasoning_budget": 500, "ngl": 12, "ctx": 2048, "note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"}}}
|
||||
{"type": "vram_snapshot", "model_key": "qwen3-30b-a3b-pavilion", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "raw": "3842, 163, 4096"}
|
||||
{"type": "llama_bench", "model_key": "qwen3-30b-a3b-pavilion", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 4095 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 4095 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1050, compute capability 6.1, VMM: yes, VRAM: 4095 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_XXS - 2.0625 bpw | 9.65 GiB | 30.53 B | CUDA | 12 | pp256 | 6.27 \u00b1 2.87 |\r\n| qwen3moe 30B.A3B IQ2_XXS - 2.0625 bpw | 9.65 GiB | 30.53 B | CUDA | 12 | tg64 | 4.90 \u00b1 0.67 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 226760, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 0.28223672605397776, "finish_reason": "length", "reasoning_chars": 273, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 15935, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 4.016316284907436, "finish_reason": "length", "reasoning_chars": 273, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 16991, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 3.7667000176564063, "finish_reason": "length", "reasoning_chars": 266, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 11898, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 5.379055303412338, "finish_reason": "length", "reasoning_chars": 283, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 132262, "prompt_tokens": 22, "completion_tokens": 461, "tokens_per_sec": 3.4855060410397543, "finish_reason": "stop", "reasoning_chars": 1700, "content_chars": 607, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 61800, "prompt_tokens": 22, "completion_tokens": 459, "tokens_per_sec": 7.427184466019418, "finish_reason": "stop", "reasoning_chars": 1693, "content_chars": 460, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 49471, "prompt_tokens": 22, "completion_tokens": 405, "tokens_per_sec": 8.186614380141902, "finish_reason": "stop", "reasoning_chars": 1552, "content_chars": 460, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 44543, "prompt_tokens": 22, "completion_tokens": 363, "tokens_per_sec": 8.149428641986395, "finish_reason": "stop", "reasoning_chars": 1344, "content_chars": 513, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 125661, "prompt_tokens": 30, "completion_tokens": 742, "tokens_per_sec": 5.904775546907951, "finish_reason": "stop", "reasoning_chars": 1254, "content_chars": 1825, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 68390, "prompt_tokens": 30, "completion_tokens": 547, "tokens_per_sec": 7.998245357508408, "finish_reason": "stop", "reasoning_chars": 1204, "content_chars": 1099, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 56872, "prompt_tokens": 30, "completion_tokens": 456, "tokens_per_sec": 8.018005345336897, "finish_reason": "stop", "reasoning_chars": 898, "content_chars": 1099, "error": null}
|
||||
{"type": "call", "cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "model_key": "qwen3-30b-a3b-pavilion", "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 58696, "prompt_tokens": 30, "completion_tokens": 467, "tokens_per_sec": 7.956249148153196, "finish_reason": "stop", "reasoning_chars": 956, "content_chars": 983, "error": null}
|
||||
28
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/run.log
Normal file
28
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/run.log
Normal file
@@ -0,0 +1,28 @@
|
||||
[22:11:39Z] === pavilion-a3b-bench run_id=23066b38-ea9c-4dd3-b2f5-32912a67fce4 ===
|
||||
[22:11:39Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4.jsonl
|
||||
[22:11:39Z] Creating run-mirror dir on Pavilion: D:\WeeyugaBench\runs\23066b38-ea9c-4dd3-b2f5-32912a67fce4
|
||||
[22:11:43Z] Polling for Qwen3-30B-A3B-UD-IQ2_XXS.gguf on Pavilion...
|
||||
[22:11:45Z] GGUF ready: 9.65 GB
|
||||
[22:11:45Z] Stopping any llama-server on Pavilion :11437...
|
||||
[22:11:49Z] Starting llama-server with Qwen3-30B-A3B-UD-IQ2_XXS.gguf on :11437...
|
||||
[22:11:54Z] Waiting for llama-server (up to 12 min — Pavilion mmap of 9.65 GB IQ2_XXS is slow)...
|
||||
[22:13:48Z] llama-server up after 95s
|
||||
[22:13:50Z] Running llama-bench (Pavilion + 30B + heavy offload — ~15-25 min budget)...
|
||||
[22:24:05Z] Running prompts (cold + 3 warm per prompt)...
|
||||
[22:24:05Z] prompt=hello cold
|
||||
[22:27:52Z] prompt=hello warm 1
|
||||
[22:28:08Z] prompt=hello warm 2
|
||||
[22:28:25Z] prompt=hello warm 3
|
||||
[22:28:37Z] prompt=P-MEDIUM cold
|
||||
[22:30:49Z] prompt=P-MEDIUM warm 1
|
||||
[22:31:51Z] prompt=P-MEDIUM warm 2
|
||||
[22:32:41Z] prompt=P-MEDIUM warm 3
|
||||
[22:33:26Z] prompt=P-HARD cold
|
||||
[22:35:31Z] prompt=P-HARD warm 1
|
||||
[22:36:40Z] prompt=P-HARD warm 2
|
||||
[22:37:37Z] prompt=P-HARD warm 3
|
||||
[22:38:36Z] Stopping any llama-server on Pavilion :11437...
|
||||
[22:38:39Z] === bench complete ===
|
||||
[22:38:39Z] Synthesizing report...
|
||||
[22:38:39Z] Report: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4.md
|
||||
[22:38:39Z] Mirroring run-dir to Pavilion...
|
||||
51
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/run.md
Normal file
51
runs/23066b38-ea9c-4dd3-b2f5-32912a67fce4/run.md
Normal file
@@ -0,0 +1,51 @@
|
||||
# Predator Qwen rerun — 23066b38-ea9c-4dd3-b2f5-32912a67fce4
|
||||
|
||||
- Started: 2026-05-04T22:11:43Z
|
||||
- Driver host: Slobodans-MacBook-Air.local
|
||||
- Node: pavilion (?)
|
||||
- Engine: llamacpp
|
||||
- Harness: pavilion-a3b-1
|
||||
- Purpose: Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison
|
||||
|
||||
## Configurations
|
||||
|
||||
| Key | Cell | GGUF | Reasoning budget | Sampling | System prompt |
|
||||
|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 500 | T=1.0 top_p=0.95 top_k=20 (thinking-mode) | — |
|
||||
| qwen-9b-nothink | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 0 | T=0.7 top_p=0.8 top_k=20 (instruct-mode) | Answer directly without showing reasoning. |
|
||||
| qwen3-14b | `?` | `Qwen3-14B-Q4_K_M.gguf` | 1024 | T=0.7 top_p=0.8 top_k=20 (Qwen3 default) | — |
|
||||
|
||||
## llama-bench synthetic throughput (pp512 + tg128)
|
||||
|
||||
| Cell | pp512 (t/s) | tg128 (t/s) |
|
||||
|---|---|---|
|
||||
| qwen3-30b-a3b-pavilion | — | — |
|
||||
|
||||
## VRAM snapshot (used / free / total MB, post-load)
|
||||
|
||||
| Cell | Used | Free | Total |
|
||||
|---|---|---|---|
|
||||
| qwen3-30b-a3b-pavilion | 3842 | 163 | 4096 |
|
||||
|
||||
## Per-prompt latency, throughput, and thinking-vs-answer split
|
||||
|
||||
| Cell | Prompt | Cold dur (ms) | Cold tok/s | Warm tok/s mean | Warm dur p50 (ms) | Reasoning chars (warm mean) | Answer chars (warm mean) | Errors |
|
||||
|---|---|---|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-HARD | — | — | — | — | — | — | 0 |
|
||||
|
||||
## Notes
|
||||
|
||||
- `Reasoning chars` is `len(message.reasoning_content)` from llama.cpp's response;
|
||||
`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.
|
||||
- For `qwen-9b-nothink`, expectation is `Reasoning chars` ≈ 0 (budget=0 + system instruction).
|
||||
- For `qwen-9b-think500`, expectation is `Reasoning chars` materially smaller than the trio-bench's ~1024-budget run; the cap should bound the worst-case.
|
||||
- For `qwen3-14b` on a 6 GB GTX 1060 with an 8.4 GB Q4_K_M GGUF: partial CPU offload kicks
|
||||
in at load time; throughput will be 30-50% of the 9B run.
|
||||
74
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/metadata.json
Normal file
74
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/metadata.json
Normal file
@@ -0,0 +1,74 @@
|
||||
{
|
||||
"id": "487c8a51-7c5c-417d-a0c5-4b6e8491e11f",
|
||||
"title": "Predator Qwen rerun \u2014 487c8a51-7c5c-417d-a0c5-4b6e8491e11f",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"harness": "pavilion-a3b-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2xxs"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.",
|
||||
"summary_md_path": "runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f.md",
|
||||
"raw_jsonl_path": "runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f.jsonl",
|
||||
"log_path": "runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T21:24:10Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"pavilion",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "487c8a51-7c5c-417d-a0c5-4b6e8491e11f",
|
||||
"harness_version": "pavilion-a3b-1",
|
||||
"started_at_utc": "2026-05-04T21:24:10Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"pavilion_target_url": "http://10.8.0.3:11437",
|
||||
"purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison",
|
||||
"models": {
|
||||
"qwen3-30b-a3b-pavilion": {
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf",
|
||||
"reasoning_budget": 500,
|
||||
"ngl": 12,
|
||||
"ctx": 2048,
|
||||
"note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
2
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/run.jsonl
Normal file
2
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/run.jsonl
Normal file
@@ -0,0 +1,2 @@
|
||||
{"type": "meta", "benchmark_run_id": "487c8a51-7c5c-417d-a0c5-4b6e8491e11f", "harness_version": "pavilion-a3b-1", "started_at_utc": "2026-05-04T21:24:10Z", "host": "Slobodans-MacBook-Air.local", "node": "pavilion", "engine": "llamacpp", "pavilion_target_url": "http://10.8.0.3:11437", "purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison", "models": {"qwen3-30b-a3b-pavilion": {"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf", "reasoning_budget": 500, "ngl": 12, "ctx": 2048, "note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"}}}
|
||||
{"type": "skipped", "model_key": "qwen3-30b-a3b-pavilion", "reason": "server_did_not_start"}
|
||||
65
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/run.log
Normal file
65
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/run.log
Normal file
@@ -0,0 +1,65 @@
|
||||
[21:24:02Z] === pavilion-a3b-bench run_id=487c8a51-7c5c-417d-a0c5-4b6e8491e11f ===
|
||||
[21:24:02Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f.jsonl
|
||||
[21:24:02Z] Creating run-mirror dir on Pavilion: D:\WeeyugaBench\runs\487c8a51-7c5c-417d-a0c5-4b6e8491e11f
|
||||
[21:24:10Z] Polling for Qwen3-30B-A3B-UD-IQ2_XXS.gguf on Pavilion...
|
||||
[21:24:13Z] download progress: 5.67 GB (poll 1/80)
|
||||
[21:24:45Z] download progress: 5.75 GB (poll 2/80)
|
||||
[21:25:19Z] download progress: 5.83 GB (poll 3/80)
|
||||
[21:25:53Z] download progress: 5.91 GB (poll 4/80)
|
||||
[21:26:25Z] download progress: 5.97 GB (poll 5/80)
|
||||
[21:26:58Z] download progress: 6.05 GB (poll 6/80)
|
||||
[21:27:31Z] download progress: 6.14 GB (poll 7/80)
|
||||
[21:28:04Z] download progress: 6.24 GB (poll 8/80)
|
||||
[21:28:36Z] download progress: 6.33 GB (poll 9/80)
|
||||
[21:29:10Z] download progress: 6.41 GB (poll 10/80)
|
||||
[21:29:42Z] download progress: 6.51 GB (poll 11/80)
|
||||
[21:30:16Z] download progress: 6.61 GB (poll 12/80)
|
||||
[21:30:49Z] download progress: 6.68 GB (poll 13/80)
|
||||
[21:31:23Z] download progress: 6.75 GB (poll 14/80)
|
||||
[21:31:56Z] download progress: 6.83 GB (poll 15/80)
|
||||
[21:32:29Z] download progress: 6.9 GB (poll 16/80)
|
||||
[21:33:03Z] download progress: 6.99 GB (poll 17/80)
|
||||
[21:33:35Z] download progress: 7.07 GB (poll 18/80)
|
||||
[21:34:09Z] download progress: 7.17 GB (poll 19/80)
|
||||
[21:34:42Z] download progress: 7.26 GB (poll 20/80)
|
||||
[21:35:16Z] download progress: 7.33 GB (poll 21/80)
|
||||
[21:35:49Z] download progress: 7.4 GB (poll 22/80)
|
||||
[21:36:22Z] download progress: 7.47 GB (poll 23/80)
|
||||
[21:36:56Z] download progress: 7.55 GB (poll 24/80)
|
||||
[21:37:29Z] download progress: 7.62 GB (poll 25/80)
|
||||
[21:38:02Z] download progress: 7.69 GB (poll 26/80)
|
||||
[21:38:35Z] download progress: 7.73 GB (poll 27/80)
|
||||
[21:39:09Z] download progress: 7.81 GB (poll 28/80)
|
||||
[21:39:42Z] download progress: 7.89 GB (poll 29/80)
|
||||
[21:40:15Z] download progress: 7.97 GB (poll 30/80)
|
||||
[21:40:50Z] download progress: 8.03 GB (poll 31/80)
|
||||
[21:41:23Z] download progress: 8.11 GB (poll 32/80)
|
||||
[21:41:57Z] download progress: 8.2 GB (poll 33/80)
|
||||
[21:42:31Z] download progress: 8.29 GB (poll 34/80)
|
||||
[21:43:05Z] download progress: 8.36 GB (poll 35/80)
|
||||
[21:43:38Z] download progress: 8.44 GB (poll 36/80)
|
||||
[21:44:11Z] download progress: 8.52 GB (poll 37/80)
|
||||
[21:44:43Z] download progress: 8.59 GB (poll 38/80)
|
||||
[21:45:17Z] download progress: 8.68 GB (poll 39/80)
|
||||
[21:45:52Z] download progress: 8.73 GB (poll 40/80)
|
||||
[21:46:25Z] download progress: 8.79 GB (poll 41/80)
|
||||
[21:46:59Z] download progress: 8.87 GB (poll 42/80)
|
||||
[21:47:32Z] download progress: 8.94 GB (poll 43/80)
|
||||
[21:48:06Z] download progress: 9.01 GB (poll 44/80)
|
||||
[21:48:39Z] download progress: 9.05 GB (poll 45/80)
|
||||
[21:49:12Z] download progress: 9.13 GB (poll 46/80)
|
||||
[21:49:45Z] download progress: 9.21 GB (poll 47/80)
|
||||
[21:50:18Z] download progress: 9.28 GB (poll 48/80)
|
||||
[21:50:51Z] download progress: 9.35 GB (poll 49/80)
|
||||
[21:51:24Z] download progress: 9.42 GB (poll 50/80)
|
||||
[21:51:57Z] GGUF ready: 9.51 GB
|
||||
[21:51:57Z] Stopping any llama-server on Pavilion :11437...
|
||||
[21:52:02Z] Starting llama-server with Qwen3-30B-A3B-UD-IQ2_XXS.gguf on :11437...
|
||||
[21:52:10Z] Waiting for llama-server (give up to 6 min — IQ2_XXS mmap on Pavilion is slower)...
|
||||
[21:59:22Z] TIMEOUT — llama-server didn't come up within 360s
|
||||
[21:59:22Z] Server failed to start
|
||||
[21:59:22Z] Stopping any llama-server on Pavilion :11437...
|
||||
[21:59:26Z] === bench complete ===
|
||||
[21:59:26Z] Synthesizing report...
|
||||
[21:59:26Z] Report: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f.md
|
||||
[21:59:26Z] Mirroring run-dir to Pavilion...
|
||||
52
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/run.md
Normal file
52
runs/487c8a51-7c5c-417d-a0c5-4b6e8491e11f/run.md
Normal file
@@ -0,0 +1,52 @@
|
||||
# Predator Qwen rerun — 487c8a51-7c5c-417d-a0c5-4b6e8491e11f
|
||||
|
||||
- Started: 2026-05-04T21:24:10Z
|
||||
- Driver host: Slobodans-MacBook-Air.local
|
||||
- Node: pavilion (?)
|
||||
- Engine: llamacpp
|
||||
- Harness: pavilion-a3b-1
|
||||
- Purpose: Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison
|
||||
|
||||
## Configurations
|
||||
|
||||
| Key | Cell | GGUF | Reasoning budget | Sampling | System prompt |
|
||||
|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 500 | T=1.0 top_p=0.95 top_k=20 (thinking-mode) | — |
|
||||
| qwen-9b-nothink | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 0 | T=0.7 top_p=0.8 top_k=20 (instruct-mode) | Answer directly without showing reasoning. |
|
||||
| qwen3-14b | `?` | `Qwen3-14B-Q4_K_M.gguf` | 1024 | T=0.7 top_p=0.8 top_k=20 (Qwen3 default) | — |
|
||||
|
||||
## Skipped
|
||||
- **qwen3-30b-a3b-pavilion**: server_did_not_start
|
||||
|
||||
## llama-bench synthetic throughput (pp512 + tg128)
|
||||
|
||||
| Cell | pp512 (t/s) | tg128 (t/s) |
|
||||
|---|---|---|
|
||||
|
||||
## VRAM snapshot (used / free / total MB, post-load)
|
||||
|
||||
| Cell | Used | Free | Total |
|
||||
|---|---|---|---|
|
||||
|
||||
## Per-prompt latency, throughput, and thinking-vs-answer split
|
||||
|
||||
| Cell | Prompt | Cold dur (ms) | Cold tok/s | Warm tok/s mean | Warm dur p50 (ms) | Reasoning chars (warm mean) | Answer chars (warm mean) | Errors |
|
||||
|---|---|---|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-HARD | — | — | — | — | — | — | 0 |
|
||||
|
||||
## Notes
|
||||
|
||||
- `Reasoning chars` is `len(message.reasoning_content)` from llama.cpp's response;
|
||||
`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.
|
||||
- For `qwen-9b-nothink`, expectation is `Reasoning chars` ≈ 0 (budget=0 + system instruction).
|
||||
- For `qwen-9b-think500`, expectation is `Reasoning chars` materially smaller than the trio-bench's ~1024-budget run; the cap should bound the worst-case.
|
||||
- For `qwen3-14b` on a 6 GB GTX 1060 with an 8.4 GB Q4_K_M GGUF: partial CPU offload kicks
|
||||
in at load time; throughput will be 30-50% of the 9B run.
|
||||
74
runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44/metadata.json
Normal file
74
runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44/metadata.json
Normal file
@@ -0,0 +1,74 @@
|
||||
{
|
||||
"id": "5f4d9e97-4294-4e69-9e6c-f318bca1ce44",
|
||||
"title": "pavilion-a3b-1 \u2014 qwen3 on pavilion",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"harness": "pavilion-a3b-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2xxs"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "no calls landed",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44.jsonl",
|
||||
"log_path": "runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T20:38:52Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"pavilion",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "5f4d9e97-4294-4e69-9e6c-f318bca1ce44",
|
||||
"harness_version": "pavilion-a3b-1",
|
||||
"started_at_utc": "2026-05-04T20:38:52Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"pavilion_target_url": "http://10.8.0.3:11437",
|
||||
"purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison",
|
||||
"models": {
|
||||
"qwen3-30b-a3b-pavilion": {
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf",
|
||||
"reasoning_budget": 500,
|
||||
"ngl": 12,
|
||||
"ctx": 2048,
|
||||
"note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
2
runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44/run.jsonl
Normal file
2
runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44/run.jsonl
Normal file
@@ -0,0 +1,2 @@
|
||||
{"type": "meta", "benchmark_run_id": "5f4d9e97-4294-4e69-9e6c-f318bca1ce44", "harness_version": "pavilion-a3b-1", "started_at_utc": "2026-05-04T20:38:52Z", "host": "Slobodans-MacBook-Air.local", "node": "pavilion", "engine": "llamacpp", "pavilion_target_url": "http://10.8.0.3:11437", "purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison", "models": {"qwen3-30b-a3b-pavilion": {"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf", "reasoning_budget": 500, "ngl": 12, "ctx": 2048, "note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"}}}
|
||||
{"type": "skipped", "model_key": "qwen3-30b-a3b-pavilion", "reason": "download_not_finished_within_40min_poll"}
|
||||
86
runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44/run.log
Normal file
86
runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44/run.log
Normal file
@@ -0,0 +1,86 @@
|
||||
[20:38:46Z] === pavilion-a3b-bench run_id=5f4d9e97-4294-4e69-9e6c-f318bca1ce44 ===
|
||||
[20:38:46Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/5f4d9e97-4294-4e69-9e6c-f318bca1ce44.jsonl
|
||||
[20:38:46Z] Creating run-mirror dir on Pavilion: D:\WeeyugaBench\runs\5f4d9e97-4294-4e69-9e6c-f318bca1ce44
|
||||
[20:38:52Z] Polling for Qwen3-30B-A3B-UD-IQ2_XXS.gguf on Pavilion...
|
||||
[20:38:55Z] download progress: 1.35 GB (poll 1/80)
|
||||
[20:39:28Z] download progress: 1.6 GB (poll 2/80)
|
||||
[20:40:01Z] download progress: 1.9 GB (poll 3/80)
|
||||
[20:40:34Z] download progress: 2.2 GB (poll 4/80)
|
||||
[20:41:07Z] download progress: 2.5 GB (poll 5/80)
|
||||
[20:41:40Z] download progress: 2.8 GB (poll 6/80)
|
||||
[20:42:13Z] download progress: 3.09 GB (poll 7/80)
|
||||
[20:42:46Z] download progress: 3.4 GB (poll 8/80)
|
||||
[20:43:20Z] download progress: 3.69 GB (poll 9/80)
|
||||
[20:43:53Z] download progress: 3.95 GB (poll 10/80)
|
||||
[20:44:28Z] download progress: 4.22 GB (poll 11/80)
|
||||
[20:45:01Z] download progress: 4.4 GB (poll 12/80)
|
||||
[20:45:33Z] download progress: 4.65 GB (poll 13/80)
|
||||
[20:46:06Z] download progress: 4.84 GB (poll 14/80)
|
||||
[20:46:38Z] download progress: 5.12 GB (poll 15/80)
|
||||
[20:47:11Z] download progress: 5.38 GB (poll 16/80)
|
||||
[20:47:43Z] download progress: 5.56 GB (poll 17/80)
|
||||
[20:48:14Z] download progress: 5.56 GB (poll 18/80)
|
||||
[20:48:46Z] download progress: 5.56 GB (poll 19/80)
|
||||
[20:49:17Z] download progress: 5.56 GB (poll 20/80)
|
||||
[20:49:48Z] download progress: 5.56 GB (poll 21/80)
|
||||
[20:50:20Z] download progress: 5.56 GB (poll 22/80)
|
||||
[20:50:52Z] download progress: 5.56 GB (poll 23/80)
|
||||
[20:51:23Z] download progress: 5.56 GB (poll 24/80)
|
||||
[20:51:55Z] download progress: 5.56 GB (poll 25/80)
|
||||
[20:52:26Z] download progress: 5.56 GB (poll 26/80)
|
||||
[20:52:58Z] download progress: 5.56 GB (poll 27/80)
|
||||
[20:53:29Z] download progress: 5.56 GB (poll 28/80)
|
||||
[20:54:00Z] download progress: 5.56 GB (poll 29/80)
|
||||
[20:54:35Z] download progress: 5.56 GB (poll 30/80)
|
||||
[20:55:06Z] download progress: 5.56 GB (poll 31/80)
|
||||
[20:55:38Z] download progress: 5.56 GB (poll 32/80)
|
||||
[20:56:09Z] download progress: 5.56 GB (poll 33/80)
|
||||
[20:56:41Z] download progress: 5.56 GB (poll 34/80)
|
||||
[20:57:13Z] download progress: 5.56 GB (poll 35/80)
|
||||
[20:57:44Z] download progress: 5.56 GB (poll 36/80)
|
||||
[20:58:15Z] download progress: 5.56 GB (poll 37/80)
|
||||
[20:58:47Z] download progress: 5.56 GB (poll 38/80)
|
||||
[20:59:18Z] download progress: 5.56 GB (poll 39/80)
|
||||
[20:59:51Z] download progress: 5.56 GB (poll 40/80)
|
||||
[21:00:23Z] download progress: 5.56 GB (poll 41/80)
|
||||
[21:00:57Z] download progress: 5.56 GB (poll 42/80)
|
||||
[21:01:30Z] download progress: 5.56 GB (poll 43/80)
|
||||
[21:02:03Z] download progress: 5.56 GB (poll 44/80)
|
||||
[21:02:36Z] download progress: 5.56 GB (poll 45/80)
|
||||
[21:03:09Z] download progress: 5.56 GB (poll 46/80)
|
||||
[21:03:42Z] download progress: 5.56 GB (poll 47/80)
|
||||
[21:04:15Z] download progress: 5.56 GB (poll 48/80)
|
||||
[21:04:47Z] download progress: 5.56 GB (poll 49/80)
|
||||
[21:05:20Z] download progress: 5.56 GB (poll 50/80)
|
||||
[21:05:52Z] download progress: 5.56 GB (poll 51/80)
|
||||
[21:06:25Z] download progress: 5.56 GB (poll 52/80)
|
||||
[21:06:58Z] download progress: 5.56 GB (poll 53/80)
|
||||
[21:07:31Z] download progress: 5.56 GB (poll 54/80)
|
||||
[21:08:04Z] download progress: 5.56 GB (poll 55/80)
|
||||
[21:08:37Z] download progress: 5.56 GB (poll 56/80)
|
||||
[21:09:09Z] download progress: 5.56 GB (poll 57/80)
|
||||
[21:09:41Z] download progress: 5.56 GB (poll 58/80)
|
||||
[21:10:14Z] download progress: 5.56 GB (poll 59/80)
|
||||
[21:10:47Z] download progress: 5.56 GB (poll 60/80)
|
||||
[21:11:18Z] download progress: 5.56 GB (poll 61/80)
|
||||
[21:11:50Z] download progress: 5.56 GB (poll 62/80)
|
||||
[21:12:21Z] download progress: 5.56 GB (poll 63/80)
|
||||
[21:12:53Z] download progress: 5.56 GB (poll 64/80)
|
||||
[21:13:24Z] download progress: 5.56 GB (poll 65/80)
|
||||
[21:13:55Z] download progress: 5.56 GB (poll 66/80)
|
||||
[21:14:27Z] download progress: 5.56 GB (poll 67/80)
|
||||
[21:14:59Z] download progress: 5.56 GB (poll 68/80)
|
||||
[21:15:30Z] download progress: 5.56 GB (poll 69/80)
|
||||
[21:16:02Z] download progress: 5.56 GB (poll 70/80)
|
||||
[21:16:33Z] download progress: 5.56 GB (poll 71/80)
|
||||
[21:17:05Z] download progress: 5.56 GB (poll 72/80)
|
||||
[21:17:37Z] download progress: 5.56 GB (poll 73/80)
|
||||
[21:18:08Z] download progress: 5.56 GB (poll 74/80)
|
||||
[21:18:40Z] download progress: 5.56 GB (poll 75/80)
|
||||
[21:19:11Z] download progress: 5.56 GB (poll 76/80)
|
||||
[21:19:42Z] download progress: 5.56 GB (poll 77/80)
|
||||
[21:20:14Z] download progress: 5.56 GB (poll 78/80)
|
||||
[21:20:45Z] download progress: 5.56 GB (poll 79/80)
|
||||
[21:21:17Z] download progress: 5.56 GB (poll 80/80)
|
||||
[21:21:47Z] GGUF not ready after 40 min; bailing
|
||||
[21:21:47Z] Mirroring run-dir to Pavilion...
|
||||
277
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/metadata.json
Normal file
277
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/metadata.json
Normal file
@@ -0,0 +1,277 @@
|
||||
{
|
||||
"id": "5fb2913d-6500-4ecf-9e97-d43f7dd61145",
|
||||
"title": "Predator Qwen rerun \u2014 5fb2913d-6500-4ecf-9e97-d43f7dd61145",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-a3b-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2m"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.",
|
||||
"summary_md_path": "runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145.md",
|
||||
"raw_jsonl_path": "runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145.jsonl",
|
||||
"log_path": "runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145.log",
|
||||
"synthesis_doc": "A3B_NGL_RETUNE_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 107312.08,
|
||||
"duration_ms_p50": 101920.0,
|
||||
"tokens_per_sec_mean": 3.87,
|
||||
"tokens_per_sec_max": 4.06
|
||||
}
|
||||
],
|
||||
"n_calls_total": 14,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T22:02:17Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"predator",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 107312.08,
|
||||
"duration_ms_p50": 101920.0,
|
||||
"tokens_per_sec_mean": 3.87,
|
||||
"tokens_per_sec_max": 4.06,
|
||||
"calls": [
|
||||
{
|
||||
"type": "vram_snapshot",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"raw": "5849, 181, 6144"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 99 | pp256 | 39.77 \u00b1 2.45 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 99 | tg64 | 3.94 \u00b1 0.05 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 26022,
|
||||
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|
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||||
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|
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{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 15870,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 63,
|
||||
"tokens_per_sec": 3.9697542533081287,
|
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|
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|
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|
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|
||||
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|
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{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 15777,
|
||||
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|
||||
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|
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|
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|
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||||
},
|
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{
|
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|
||||
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|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
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|
||||
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|
||||
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|
||||
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{
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||||
"type": "call",
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
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{
|
||||
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||||
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|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
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|
||||
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|
||||
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||||
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|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
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|
||||
"phase": "warm",
|
||||
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|
||||
"prompt_tokens": 22,
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||||
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||||
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||||
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||||
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||||
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},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
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|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 512,
|
||||
"tokens_per_sec": 3.9780276131057364,
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"finish_reason": "length",
|
||||
"reasoning_chars": 2388,
|
||||
"content_chars": 32,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
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|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 205494,
|
||||
"prompt_tokens": 30,
|
||||
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|
||||
"tokens_per_sec": 3.9514535704205476,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1108,
|
||||
"content_chars": 2418,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 188228,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 760,
|
||||
"tokens_per_sec": 4.037656459187794,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1081,
|
||||
"content_chars": 2229,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 218750,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 881,
|
||||
"tokens_per_sec": 4.027428571428572,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1191,
|
||||
"content_chars": 2555,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 182366,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 722,
|
||||
"tokens_per_sec": 3.9590713181185087,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1737,
|
||||
"content_chars": 1369,
|
||||
"error": null
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "5fb2913d-6500-4ecf-9e97-d43f7dd61145",
|
||||
"harness_version": "predator-a3b-1",
|
||||
"started_at_utc": "2026-05-04T22:02:17Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "predator",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://10.8.0.7:11436",
|
||||
"purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500",
|
||||
"models": {
|
||||
"qwen3-30b-a3b": {
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf",
|
||||
"reasoning_budget": 500,
|
||||
"note": "30B total / 3B active MoE; 17.7GB Q4_K_M; partial CPU offload via mmap"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
15
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.jsonl
Normal file
15
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.jsonl
Normal file
@@ -0,0 +1,15 @@
|
||||
{"type": "meta", "benchmark_run_id": "5fb2913d-6500-4ecf-9e97-d43f7dd61145", "harness_version": "predator-a3b-1", "started_at_utc": "2026-05-04T22:02:17Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "predator_target_url": "http://10.8.0.7:11436", "purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500", "models": {"qwen3-30b-a3b": {"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf", "reasoning_budget": 500, "note": "30B total / 3B active MoE; 17.7GB Q4_K_M; partial CPU offload via mmap"}}}
|
||||
{"type": "vram_snapshot", "model_key": "qwen3-30b-a3b", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "raw": "5849, 181, 6144"}
|
||||
{"type": "llama_bench", "model_key": "qwen3-30b-a3b", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 99 | pp256 | 39.77 \u00b1 2.45 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 99 | tg64 | 3.94 \u00b1 0.05 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 26022, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 2.459457382215049, "finish_reason": "length", "reasoning_chars": 273, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 15870, "prompt_tokens": 9, "completion_tokens": 63, "tokens_per_sec": 3.9697542533081287, "finish_reason": "stop", "reasoning_chars": 193, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 15777, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 4.056537998352032, "finish_reason": "length", "reasoning_chars": 276, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 16264, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 3.935071323167733, "finish_reason": "length", "reasoning_chars": 287, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 97117, "prompt_tokens": 22, "completion_tokens": 388, "tokens_per_sec": 3.995181070255465, "finish_reason": "stop", "reasoning_chars": 1474, "content_chars": 483, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 86427, "prompt_tokens": 22, "completion_tokens": 351, "tokens_per_sec": 4.061230865354577, "finish_reason": "stop", "reasoning_chars": 1315, "content_chars": 434, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 106723, "prompt_tokens": 22, "completion_tokens": 432, "tokens_per_sec": 4.047862222763603, "finish_reason": "stop", "reasoning_chars": 1654, "content_chars": 464, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 128707, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 3.9780276131057364, "finish_reason": "length", "reasoning_chars": 2388, "content_chars": 32, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 205494, "prompt_tokens": 30, "completion_tokens": 812, "tokens_per_sec": 3.9514535704205476, "finish_reason": "stop", "reasoning_chars": 1108, "content_chars": 2418, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 188228, "prompt_tokens": 30, "completion_tokens": 760, "tokens_per_sec": 4.037656459187794, "finish_reason": "stop", "reasoning_chars": 1081, "content_chars": 2229, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 218750, "prompt_tokens": 30, "completion_tokens": 881, "tokens_per_sec": 4.027428571428572, "finish_reason": "stop", "reasoning_chars": 1191, "content_chars": 2555, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "model_key": "qwen3-30b-a3b", "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 182366, "prompt_tokens": 30, "completion_tokens": 722, "tokens_per_sec": 3.9590713181185087, "finish_reason": "stop", "reasoning_chars": 1737, "content_chars": 1369, "error": null}
|
||||
47
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.log
Normal file
47
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.log
Normal file
@@ -0,0 +1,47 @@
|
||||
[22:02:09Z] === predator-a3b-bench run_id=5fb2913d-6500-4ecf-9e97-d43f7dd61145 ===
|
||||
[22:02:09Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145.jsonl
|
||||
[22:02:09Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\5fb2913d-6500-4ecf-9e97-d43f7dd61145
|
||||
[22:02:17Z] Polling for Qwen3-30B-A3B-UD-IQ2_M.gguf on Predator (download in progress)...
|
||||
[22:02:20Z] download progress: 7.23 GB (poll 1/60)
|
||||
[22:02:53Z] download progress: 7.39 GB (poll 2/60)
|
||||
[22:03:26Z] download progress: 7.54 GB (poll 3/60)
|
||||
[22:03:58Z] download progress: 7.69 GB (poll 4/60)
|
||||
[22:04:31Z] download progress: 7.86 GB (poll 5/60)
|
||||
[22:05:04Z] download progress: 8 GB (poll 6/60)
|
||||
[22:05:38Z] download progress: 8.09 GB (poll 7/60)
|
||||
[22:06:11Z] download progress: 8.23 GB (poll 8/60)
|
||||
[22:06:46Z] download progress: 8.39 GB (poll 9/60)
|
||||
[22:07:18Z] download progress: 8.55 GB (poll 10/60)
|
||||
[22:07:51Z] download progress: 8.69 GB (poll 11/60)
|
||||
[22:08:23Z] download progress: 8.88 GB (poll 12/60)
|
||||
[22:08:55Z] download progress: 9.04 GB (poll 13/60)
|
||||
[22:09:28Z] download progress: 9.13 GB (poll 14/60)
|
||||
[22:10:01Z] download progress: 9.3 GB (poll 15/60)
|
||||
[22:10:34Z] download progress: 9.49 GB (poll 16/60)
|
||||
[22:11:07Z] download progress: 9.64 GB (poll 17/60)
|
||||
[22:11:40Z] download progress: 9.81 GB (poll 18/60)
|
||||
[22:12:13Z] download progress: 9.99 GB (poll 19/60)
|
||||
[22:12:44Z] GGUF ready: 10.12 GB
|
||||
[22:12:44Z] Stopping llama-server on Predator...
|
||||
[22:12:47Z] Starting llama-server with Qwen3-30B-A3B-UD-IQ2_M.gguf (this is the slow one — 17.7 GB to mmap, lots of layer probes)...
|
||||
[22:12:50Z] Waiting for llama-server to come up (give it up to 6 min — 30B mmap from disk is slow)...
|
||||
[22:15:00Z] llama-server up after 108s
|
||||
[22:15:01Z] Running llama-bench (this also takes much longer for 30B; budget ~10-15 min)...
|
||||
[22:19:38Z] Running prompts (cold + 3 warm per prompt; 30B + thinking will be slow on P-HARD)...
|
||||
[22:19:38Z] prompt=hello cold
|
||||
[22:20:04Z] prompt=hello warm 1
|
||||
[22:20:20Z] prompt=hello warm 2
|
||||
[22:20:36Z] prompt=hello warm 3
|
||||
[22:20:52Z] prompt=P-MEDIUM cold
|
||||
[22:22:29Z] prompt=P-MEDIUM warm 1
|
||||
[22:23:56Z] prompt=P-MEDIUM warm 2
|
||||
[22:25:42Z] prompt=P-MEDIUM warm 3
|
||||
[22:27:51Z] prompt=P-HARD cold
|
||||
[22:31:17Z] prompt=P-HARD warm 1
|
||||
[22:34:25Z] prompt=P-HARD warm 2
|
||||
[22:38:04Z] prompt=P-HARD warm 3
|
||||
[22:41:07Z] Stopping llama-server on Predator...
|
||||
[22:41:10Z] === bench complete ===
|
||||
[22:41:10Z] Synthesizing report...
|
||||
[22:41:10Z] Report: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145.md
|
||||
[22:41:10Z] Mirroring run-dir to Predator...
|
||||
51
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.md
Normal file
51
runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.md
Normal file
@@ -0,0 +1,51 @@
|
||||
# Predator Qwen rerun — 5fb2913d-6500-4ecf-9e97-d43f7dd61145
|
||||
|
||||
- Started: 2026-05-04T22:02:17Z
|
||||
- Driver host: Slobodans-MacBook-Air.local
|
||||
- Node: predator (http://10.8.0.7:11436)
|
||||
- Engine: llamacpp
|
||||
- Harness: predator-a3b-1
|
||||
- Purpose: Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500
|
||||
|
||||
## Configurations
|
||||
|
||||
| Key | Cell | GGUF | Reasoning budget | Sampling | System prompt |
|
||||
|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 500 | T=1.0 top_p=0.95 top_k=20 (thinking-mode) | — |
|
||||
| qwen-9b-nothink | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 0 | T=0.7 top_p=0.8 top_k=20 (instruct-mode) | Answer directly without showing reasoning. |
|
||||
| qwen3-14b | `?` | `Qwen3-14B-Q4_K_M.gguf` | 1024 | T=0.7 top_p=0.8 top_k=20 (Qwen3 default) | — |
|
||||
|
||||
## llama-bench synthetic throughput (pp512 + tg128)
|
||||
|
||||
| Cell | pp512 (t/s) | tg128 (t/s) |
|
||||
|---|---|---|
|
||||
| qwen3-30b-a3b | — | — |
|
||||
|
||||
## VRAM snapshot (used / free / total MB, post-load)
|
||||
|
||||
| Cell | Used | Free | Total |
|
||||
|---|---|---|---|
|
||||
| qwen3-30b-a3b | 5849 | 181 | 6144 |
|
||||
|
||||
## Per-prompt latency, throughput, and thinking-vs-answer split
|
||||
|
||||
| Cell | Prompt | Cold dur (ms) | Cold tok/s | Warm tok/s mean | Warm dur p50 (ms) | Reasoning chars (warm mean) | Answer chars (warm mean) | Errors |
|
||||
|---|---|---|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-HARD | — | — | — | — | — | — | 0 |
|
||||
|
||||
## Notes
|
||||
|
||||
- `Reasoning chars` is `len(message.reasoning_content)` from llama.cpp's response;
|
||||
`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.
|
||||
- For `qwen-9b-nothink`, expectation is `Reasoning chars` ≈ 0 (budget=0 + system instruction).
|
||||
- For `qwen-9b-think500`, expectation is `Reasoning chars` materially smaller than the trio-bench's ~1024-budget run; the cap should bound the worst-case.
|
||||
- For `qwen3-14b` on a 6 GB GTX 1060 with an 8.4 GB Q4_K_M GGUF: partial CPU offload kicks
|
||||
in at load time; throughput will be 30-50% of the 9B run.
|
||||
849
runs/79afe366-1055-4e45-adf6-593864a530e8/metadata.json
Normal file
849
runs/79afe366-1055-4e45-adf6-593864a530e8/metadata.json
Normal file
@@ -0,0 +1,849 @@
|
||||
{
|
||||
"id": "79afe366-1055-4e45-adf6-593864a530e8",
|
||||
"title": "predator-a3b-ngl6-ctx-1 \u2014 qwen3 on predator",
|
||||
"date": "2026-05-05",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-a3b-ngl6-ctx-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2m"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "45 calls across 3 cell(s); ~5.2 tok/s mean; p50 84.8s",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/79afe366-1055-4e45-adf6-593864a530e8.jsonl",
|
||||
"log_path": "runs/79afe366-1055-4e45-adf6-593864a530e8.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 81326.17,
|
||||
"duration_ms_p50": 73215.0,
|
||||
"tokens_per_sec_mean": 5.42,
|
||||
"tokens_per_sec_max": 5.93
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 84532.92,
|
||||
"duration_ms_p50": 99578.5,
|
||||
"tokens_per_sec_mean": 5.43,
|
||||
"tokens_per_sec_max": 5.94
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 91748.5,
|
||||
"duration_ms_p50": 98184.0,
|
||||
"tokens_per_sec_mean": 4.79,
|
||||
"tokens_per_sec_max": 4.93
|
||||
}
|
||||
],
|
||||
"n_calls_total": 45,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-05T09:44:34Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"ctx",
|
||||
"iq2",
|
||||
"ngl",
|
||||
"predator",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 81326.17,
|
||||
"duration_ms_p50": 73215.0,
|
||||
"tokens_per_sec_mean": 5.42,
|
||||
"tokens_per_sec_max": 5.93,
|
||||
"calls": [
|
||||
{
|
||||
"type": "vram_snapshot",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"raw": "3039, 2991, 6144"
|
||||
},
|
||||
{
|
||||
"type": "ram_snapshot",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"raw": "14325,14300,28625"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | pp256 | 114.59 \u00b1 4.05 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | tg64 | 6.01 \u00b1 0.25 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 38170,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 198,
|
||||
"tokens_per_sec": 5.187319884726224,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 834,
|
||||
"content_chars": 37,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 15973,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 94,
|
||||
"tokens_per_sec": 5.884930820760032,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 346,
|
||||
"content_chars": 37,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 13824,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 82,
|
||||
"tokens_per_sec": 5.931712962962963,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 300,
|
||||
"content_chars": 37,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 22431,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 116,
|
||||
"tokens_per_sec": 5.171414560206856,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 449,
|
||||
"content_chars": 37,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 81140,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 437,
|
||||
"tokens_per_sec": 5.385753019472516,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1693,
|
||||
"content_chars": 498,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 70839,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 392,
|
||||
"tokens_per_sec": 5.533674953062579,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1555,
|
||||
"content_chars": 385,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 60354,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 335,
|
||||
"tokens_per_sec": 5.550584882526428,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1201,
|
||||
"content_chars": 455,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 75591,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 416,
|
||||
"tokens_per_sec": 5.5033006574856795,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1486,
|
||||
"content_chars": 473,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 147513,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 747,
|
||||
"tokens_per_sec": 5.063960464501434,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1206,
|
||||
"content_chars": 2019,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"model_key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536,
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 157591,
|
||||
"prompt_tokens": 30,
|
||||
"completion_tokens": 828,
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
"model_key": "ngl6-ctx131k",
|
||||
"ngl": 6,
|
||||
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||||
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|
||||
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||||
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||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
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||||
"benchmark_run_id": "79afe366-1055-4e45-adf6-593864a530e8",
|
||||
"harness_version": "predator-a3b-ngl6-ctx-1",
|
||||
"started_at_utc": "2026-05-05T09:44:34Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
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||||
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|
||||
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|
||||
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|
||||
"cells": [
|
||||
{
|
||||
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|
||||
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|
||||
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||||
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|
||||
{
|
||||
"key": "ngl6-ctx96k",
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||||
"ngl": 6,
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||||
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||||
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||||
{
|
||||
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||||
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||||
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||||
}
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||||
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||||
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||||
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||||
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|
||||
}
|
||||
46
runs/79afe366-1055-4e45-adf6-593864a530e8/run.jsonl
Normal file
46
runs/79afe366-1055-4e45-adf6-593864a530e8/run.jsonl
Normal file
@@ -0,0 +1,46 @@
|
||||
{"type": "meta", "benchmark_run_id": "79afe366-1055-4e45-adf6-593864a530e8", "harness_version": "predator-a3b-ngl6-ctx-1", "started_at_utc": "2026-05-05T09:44:34Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "purpose": "Sloba 2026-05-05: NGL=6 large-context rerun with new max_tokens methodology. 'no need to run small context just do 64 96 131'.", "cells": [{"key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536}, {"key": "ngl6-ctx96k", "ngl": 6, "ctx": 65536}, {"key": "ngl6-ctx131k", "ngl": 6, "ctx": 65536}], "gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf", "max_tokens_per_prompt": {"hello": 512, "P-MEDIUM": 1024, "P-HARD": 2048}}
|
||||
{"type": "vram_snapshot", "model_key": "ngl6-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "ngl": 6, "ctx": 65536, "raw": "3039, 2991, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl6-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "ngl": 6, "ctx": 65536, "raw": "14325,14300,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl6-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "ngl": 6, "ctx": 65536, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | pp256 | 114.59 \u00b1 4.05 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | tg64 | 6.01 \u00b1 0.25 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 38170, "prompt_tokens": 9, "completion_tokens": 198, "tokens_per_sec": 5.187319884726224, "finish_reason": "stop", "reasoning_chars": 834, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 15973, "prompt_tokens": 9, "completion_tokens": 94, "tokens_per_sec": 5.884930820760032, "finish_reason": "stop", "reasoning_chars": 346, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 13824, "prompt_tokens": 9, "completion_tokens": 82, "tokens_per_sec": 5.931712962962963, "finish_reason": "stop", "reasoning_chars": 300, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 22431, "prompt_tokens": 9, "completion_tokens": 116, "tokens_per_sec": 5.171414560206856, "finish_reason": "stop", "reasoning_chars": 449, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 81140, "prompt_tokens": 22, "completion_tokens": 437, "tokens_per_sec": 5.385753019472516, "finish_reason": "stop", "reasoning_chars": 1693, "content_chars": 498, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 70839, "prompt_tokens": 22, "completion_tokens": 392, "tokens_per_sec": 5.533674953062579, "finish_reason": "stop", "reasoning_chars": 1555, "content_chars": 385, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 60354, "prompt_tokens": 22, "completion_tokens": 335, "tokens_per_sec": 5.550584882526428, "finish_reason": "stop", "reasoning_chars": 1201, "content_chars": 455, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 75591, "prompt_tokens": 22, "completion_tokens": 416, "tokens_per_sec": 5.5033006574856795, "finish_reason": "stop", "reasoning_chars": 1486, "content_chars": 473, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 147513, "prompt_tokens": 30, "completion_tokens": 747, "tokens_per_sec": 5.063960464501434, "finish_reason": "stop", "reasoning_chars": 1206, "content_chars": 2019, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 157591, "prompt_tokens": 30, "completion_tokens": 828, "tokens_per_sec": 5.254107150789068, "finish_reason": "stop", "reasoning_chars": 1237, "content_chars": 2268, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 146270, "prompt_tokens": 30, "completion_tokens": 771, "tokens_per_sec": 5.271074041156765, "finish_reason": "stop", "reasoning_chars": 1032, "content_chars": 2223, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 146218, "prompt_tokens": 30, "completion_tokens": 777, "tokens_per_sec": 5.313983230518815, "finish_reason": "stop", "reasoning_chars": 1031, "content_chars": 2225, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl6-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "ngl": 6, "ctx": 98304, "raw": "3526, 2504, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl6-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "ngl": 6, "ctx": 98304, "raw": "17037,11588,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl6-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "ngl": 6, "ctx": 98304, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | pp256 | 115.02 \u00b1 3.48 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | tg64 | 6.00 \u00b1 0.26 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 16242, "prompt_tokens": 9, "completion_tokens": 86, "tokens_per_sec": 5.294914419406477, "finish_reason": "stop", "reasoning_chars": 290, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 18234, "prompt_tokens": 9, "completion_tokens": 103, "tokens_per_sec": 5.6487879785017, "finish_reason": "stop", "reasoning_chars": 377, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 19231, "prompt_tokens": 9, "completion_tokens": 105, "tokens_per_sec": 5.45993448078623, "finish_reason": "stop", "reasoning_chars": 384, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 16843, "prompt_tokens": 9, "completion_tokens": 100, "tokens_per_sec": 5.937184587068812, "finish_reason": "stop", "reasoning_chars": 367, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 110870, "prompt_tokens": 22, "completion_tokens": 585, "tokens_per_sec": 5.276449896274916, "finish_reason": "stop", "reasoning_chars": 2434, "content_chars": 447, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 110774, "prompt_tokens": 22, "completion_tokens": 595, "tokens_per_sec": 5.3712965136223305, "finish_reason": "stop", "reasoning_chars": 2056, "content_chars": 871, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 112101, "prompt_tokens": 22, "completion_tokens": 603, "tokens_per_sec": 5.379077795916182, "finish_reason": "stop", "reasoning_chars": 2125, "content_chars": 810, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 66119, "prompt_tokens": 22, "completion_tokens": 369, "tokens_per_sec": 5.580846655273068, "finish_reason": "stop", "reasoning_chars": 1364, "content_chars": 421, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 151424, "prompt_tokens": 30, "completion_tokens": 787, "tokens_per_sec": 5.197326711749788, "finish_reason": "stop", "reasoning_chars": 2143, "content_chars": 1193, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 152836, "prompt_tokens": 30, "completion_tokens": 799, "tokens_per_sec": 5.227825904891517, "finish_reason": "stop", "reasoning_chars": 1256, "content_chars": 2176, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 88383, "prompt_tokens": 30, "completion_tokens": 491, "tokens_per_sec": 5.555366982338232, "finish_reason": "stop", "reasoning_chars": 1180, "content_chars": 1027, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx96k", "model_key": "ngl6-ctx96k", "ngl": 6, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 151338, "prompt_tokens": 30, "completion_tokens": 791, "tokens_per_sec": 5.226711070583726, "finish_reason": "stop", "reasoning_chars": 1215, "content_chars": 2102, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl6-ctx131k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "ngl": 6, "ctx": 131072, "raw": "3997, 2033, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl6-ctx131k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "ngl": 6, "ctx": 131072, "raw": "19867,8758,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl6-ctx131k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "ngl": 6, "ctx": 131072, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | pp256 | 113.80 \u00b1 3.44 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | tg64 | 4.96 \u00b1 0.46 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 34389, "prompt_tokens": 9, "completion_tokens": 153, "tokens_per_sec": 4.449097095001308, "finish_reason": "stop", "reasoning_chars": 595, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 18091, "prompt_tokens": 9, "completion_tokens": 85, "tokens_per_sec": 4.698468851915317, "finish_reason": "stop", "reasoning_chars": 235, "content_chars": 113, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 40404, "prompt_tokens": 9, "completion_tokens": 197, "tokens_per_sec": 4.875754875754875, "finish_reason": "stop", "reasoning_chars": 796, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 43729, "prompt_tokens": 9, "completion_tokens": 215, "tokens_per_sec": 4.9166457042237415, "finish_reason": "stop", "reasoning_chars": 859, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 120915, "prompt_tokens": 22, "completion_tokens": 595, "tokens_per_sec": 4.920812140760038, "finish_reason": "stop", "reasoning_chars": 1981, "content_chars": 893, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 73236, "prompt_tokens": 22, "completion_tokens": 349, "tokens_per_sec": 4.765415915669889, "finish_reason": "stop", "reasoning_chars": 1233, "content_chars": 463, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 104076, "prompt_tokens": 22, "completion_tokens": 502, "tokens_per_sec": 4.82339828586802, "finish_reason": "stop", "reasoning_chars": 1965, "content_chars": 455, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 96577, "prompt_tokens": 22, "completion_tokens": 462, "tokens_per_sec": 4.783747683195792, "finish_reason": "stop", "reasoning_chars": 1771, "content_chars": 513, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 167278, "prompt_tokens": 30, "completion_tokens": 786, "tokens_per_sec": 4.698764930235895, "finish_reason": "stop", "reasoning_chars": 1176, "content_chars": 2193, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 145866, "prompt_tokens": 30, "completion_tokens": 692, "tokens_per_sec": 4.744080183181824, "finish_reason": "stop", "reasoning_chars": 2123, "content_chars": 790, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 99791, "prompt_tokens": 30, "completion_tokens": 492, "tokens_per_sec": 4.93030433606237, "finish_reason": "stop", "reasoning_chars": 1133, "content_chars": 946, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx131k", "model_key": "ngl6-ctx131k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 156630, "prompt_tokens": 30, "completion_tokens": 758, "tokens_per_sec": 4.839430505011811, "finish_reason": "stop", "reasoning_chars": 1138, "content_chars": 2102, "error": null}
|
||||
63
runs/79afe366-1055-4e45-adf6-593864a530e8/run.log
Normal file
63
runs/79afe366-1055-4e45-adf6-593864a530e8/run.log
Normal file
@@ -0,0 +1,63 @@
|
||||
[09:44:24Z] === predator-a3b-ngl6-ctx run_id=79afe366-1055-4e45-adf6-593864a530e8 ===
|
||||
[09:44:24Z] Plan: NGL=6 × ctx={64k, 96k, 131k}
|
||||
[09:44:24Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\79afe366-1055-4e45-adf6-593864a530e8
|
||||
[09:44:34Z] >>> CELL: ngl6-ctx64k (NGL=6 ctx=65536)
|
||||
[09:44:34Z] Stopping llama-server on Predator...
|
||||
[09:44:41Z] Starting llama-server (key=ngl6-ctx64k, NGL=6, ctx=65536)...
|
||||
[09:44:48Z] Waiting for llama-server (key=ngl6-ctx64k, up to 15 min)...
|
||||
[09:45:12Z] llama-server up after 17s
|
||||
[09:45:16Z] Running llama-bench for ngl6-ctx64k (NGL=6)...
|
||||
[09:46:31Z] Running prompts for ngl6-ctx64k (cold + 3 warm; max_tokens 512/1024/2048)...
|
||||
[09:46:31Z] prompt=hello cold (max_tokens=512)
|
||||
[09:47:09Z] prompt=hello warm 1
|
||||
[09:47:25Z] prompt=hello warm 2
|
||||
[09:47:39Z] prompt=hello warm 3
|
||||
[09:48:01Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[09:49:23Z] prompt=P-MEDIUM warm 1
|
||||
[09:50:34Z] prompt=P-MEDIUM warm 2
|
||||
[09:51:34Z] prompt=P-MEDIUM warm 3
|
||||
[09:52:50Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[09:55:17Z] prompt=P-HARD warm 1
|
||||
[09:57:55Z] prompt=P-HARD warm 2
|
||||
[10:00:21Z] prompt=P-HARD warm 3
|
||||
[10:02:48Z] >>> CELL: ngl6-ctx96k (NGL=6 ctx=98304)
|
||||
[10:02:48Z] Stopping llama-server on Predator...
|
||||
[10:02:52Z] Starting llama-server (key=ngl6-ctx96k, NGL=6, ctx=98304)...
|
||||
[10:02:55Z] Waiting for llama-server (key=ngl6-ctx96k, up to 15 min)...
|
||||
[10:03:02Z] llama-server up after 7s
|
||||
[10:03:05Z] Running llama-bench for ngl6-ctx96k (NGL=6)...
|
||||
[10:04:19Z] Running prompts for ngl6-ctx96k (cold + 3 warm; max_tokens 512/1024/2048)...
|
||||
[10:04:19Z] prompt=hello cold (max_tokens=512)
|
||||
[10:04:36Z] prompt=hello warm 1
|
||||
[10:04:54Z] prompt=hello warm 2
|
||||
[10:05:13Z] prompt=hello warm 3
|
||||
[10:05:30Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[10:07:21Z] prompt=P-MEDIUM warm 1
|
||||
[10:09:12Z] prompt=P-MEDIUM warm 2
|
||||
[10:11:04Z] prompt=P-MEDIUM warm 3
|
||||
[10:12:10Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[10:14:42Z] prompt=P-HARD warm 1
|
||||
[10:17:15Z] prompt=P-HARD warm 2
|
||||
[10:18:43Z] prompt=P-HARD warm 3
|
||||
[10:21:15Z] >>> CELL: ngl6-ctx131k (NGL=6 ctx=131072)
|
||||
[10:21:15Z] Stopping llama-server on Predator...
|
||||
[10:21:19Z] Starting llama-server (key=ngl6-ctx131k, NGL=6, ctx=131072)...
|
||||
[10:21:22Z] Waiting for llama-server (key=ngl6-ctx131k, up to 15 min)...
|
||||
[10:21:30Z] llama-server up after 7s
|
||||
[10:21:32Z] Running llama-bench for ngl6-ctx131k (NGL=6)...
|
||||
[10:23:00Z] Running prompts for ngl6-ctx131k (cold + 3 warm; max_tokens 512/1024/2048)...
|
||||
[10:23:00Z] prompt=hello cold (max_tokens=512)
|
||||
[10:23:34Z] prompt=hello warm 1
|
||||
[10:23:52Z] prompt=hello warm 2
|
||||
[10:24:33Z] prompt=hello warm 3
|
||||
[10:25:17Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[10:27:18Z] prompt=P-MEDIUM warm 1
|
||||
[10:28:31Z] prompt=P-MEDIUM warm 2
|
||||
[10:30:15Z] prompt=P-MEDIUM warm 3
|
||||
[10:31:52Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[10:34:39Z] prompt=P-HARD warm 1
|
||||
[10:37:05Z] prompt=P-HARD warm 2
|
||||
[10:38:45Z] prompt=P-HARD warm 3
|
||||
[10:41:22Z] Stopping llama-server on Predator...
|
||||
[10:41:26Z] === bench complete ===
|
||||
[10:41:26Z] Mirroring run-dir to Predator...
|
||||
139
runs/86241185-24da-4f8e-b254-a60c9465e353/metadata.json
Normal file
139
runs/86241185-24da-4f8e-b254-a60c9465e353/metadata.json
Normal file
@@ -0,0 +1,139 @@
|
||||
{
|
||||
"id": "86241185-24da-4f8e-b254-a60c9465e353",
|
||||
"title": "vps50-cpu-matrix-1 \u2014 gemma/phi-4/qwen2.5/qwen3 on vps50",
|
||||
"date": "2026-05-05",
|
||||
"hardware": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"harness": "vps50-cpu-matrix-1",
|
||||
"model_family": "gemma/phi-4/qwen2.5/qwen3",
|
||||
"model_sizes": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "no calls landed",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/86241185-24da-4f8e-b254-a60c9465e353.jsonl",
|
||||
"log_path": "runs/86241185-24da-4f8e-b254-a60c9465e353.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-05T03:07:15Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"cpu",
|
||||
"gemma",
|
||||
"matrix",
|
||||
"qwen2.5",
|
||||
"qwen3",
|
||||
"vps50"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "86241185-24da-4f8e-b254-a60c9465e353",
|
||||
"harness_version": "vps50-cpu-matrix-1",
|
||||
"started_at_utc": "2026-05-05T03:07:15Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://81.17.99.14:11436",
|
||||
"node_specs": {
|
||||
"cpu": "AMD EPYC 16 vCPUs",
|
||||
"ram_gb": 62,
|
||||
"free_ram_gb": 57,
|
||||
"gpu": "none"
|
||||
},
|
||||
"purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)",
|
||||
"models": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b"
|
||||
]
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
5
runs/86241185-24da-4f8e-b254-a60c9465e353/run.jsonl
Normal file
5
runs/86241185-24da-4f8e-b254-a60c9465e353/run.jsonl
Normal file
@@ -0,0 +1,5 @@
|
||||
{"type": "meta", "benchmark_run_id": "86241185-24da-4f8e-b254-a60c9465e353", "harness_version": "vps50-cpu-matrix-1", "started_at_utc": "2026-05-05T03:07:15Z", "host": "Slobodans-MacBook-Air.local", "node": "vps50", "engine": "llamacpp", "predator_target_url": "http://81.17.99.14:11436", "node_specs": {"cpu": "AMD EPYC 16 vCPUs", "ram_gb": 62, "free_ram_gb": 57, "gpu": "none"}, "purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)", "models": ["phi-4", "gemma-4-26b-a4b", "qwen3-30b-a3b", "qwen2.5-72b"]}
|
||||
{"type": "skipped", "model_key": "phi-4", "reason": "server_did_not_start"}
|
||||
{"type": "skipped", "model_key": "gemma-4-26b-a4b", "reason": "server_did_not_start"}
|
||||
{"type": "skipped", "model_key": "qwen3-30b-a3b", "reason": "server_did_not_start"}
|
||||
{"type": "skipped", "model_key": "qwen2.5-72b", "reason": "server_did_not_start"}
|
||||
40
runs/86241185-24da-4f8e-b254-a60c9465e353/run.log
Normal file
40
runs/86241185-24da-4f8e-b254-a60c9465e353/run.log
Normal file
@@ -0,0 +1,40 @@
|
||||
[03:07:10Z] === vps50-cpu-matrix run_id=86241185-24da-4f8e-b254-a60c9465e353 ===
|
||||
[03:07:10Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/86241185-24da-4f8e-b254-a60c9465e353.jsonl
|
||||
[03:07:10Z] Plan: phi-4 gemma-4-26b-a4b qwen3-30b-a3b qwen2.5-72b (in size order)
|
||||
[03:07:10Z] Creating run-mirror dir on VPS50: /home/admin/WeeyugaBench/runs/86241185-24da-4f8e-b254-a60c9465e353
|
||||
[03:07:15Z] >>> CELL: phi-4 (phi-4-Q4_K_M.gguf)
|
||||
[03:07:15Z] Polling for phi-4-Q4_K_M.gguf (need >= 8.0 GB) on VPS50...
|
||||
[03:07:18Z] phi-4-Q4_K_M.gguf ready: 8.28 GB
|
||||
[03:07:18Z] Stopping llama-server on VPS50...
|
||||
[03:07:20Z] Starting llama-server with phi-4-Q4_K_M.gguf for cell 'phi-4'...
|
||||
[03:07:22Z] Waiting for llama-server (cell=phi-4, up to 15 min — large mmap on CPU box)...
|
||||
[03:53:06Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[03:53:06Z] Server failed to start; recording skip
|
||||
[03:53:06Z] >>> CELL: gemma-4-26b-a4b (gemma-4-26B-A4B-it-UD-Q4_K_M.gguf)
|
||||
[03:53:06Z] Polling for gemma-4-26B-A4B-it-UD-Q4_K_M.gguf (need >= 15.5 GB) on VPS50...
|
||||
[03:53:08Z] gemma-4-26B-A4B-it-UD-Q4_K_M.gguf ready: 15.78 GB
|
||||
[03:53:08Z] Stopping llama-server on VPS50...
|
||||
[03:53:11Z] Starting llama-server with gemma-4-26B-A4B-it-UD-Q4_K_M.gguf for cell 'gemma-4-26b-a4b'...
|
||||
[03:53:14Z] Waiting for llama-server (cell=gemma-4-26b-a4b, up to 15 min — large mmap on CPU box)...
|
||||
[04:38:59Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[04:38:59Z] Server failed to start; recording skip
|
||||
[04:39:00Z] >>> CELL: qwen3-30b-a3b (Qwen3-30B-A3B-Q4_K_M.gguf)
|
||||
[04:39:00Z] Polling for Qwen3-30B-A3B-Q4_K_M.gguf (need >= 17.0 GB) on VPS50...
|
||||
[04:39:04Z] Qwen3-30B-A3B-Q4_K_M.gguf ready: 17.28 GB
|
||||
[04:39:04Z] Stopping llama-server on VPS50...
|
||||
[04:39:06Z] Starting llama-server with Qwen3-30B-A3B-Q4_K_M.gguf for cell 'qwen3-30b-a3b'...
|
||||
[04:39:08Z] Waiting for llama-server (cell=qwen3-30b-a3b, up to 15 min — large mmap on CPU box)...
|
||||
[05:24:53Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[05:24:53Z] Server failed to start; recording skip
|
||||
[05:24:53Z] >>> CELL: qwen2.5-72b (Qwen2.5-72B-Instruct-Q4_K_M.gguf)
|
||||
[05:24:53Z] Polling for Qwen2.5-72B-Instruct-Q4_K_M.gguf (need >= 44.0 GB) on VPS50...
|
||||
[05:24:55Z] Qwen2.5-72B-Instruct-Q4_K_M.gguf ready: 44.16 GB
|
||||
[05:24:55Z] Stopping llama-server on VPS50...
|
||||
[05:24:57Z] Starting llama-server with Qwen2.5-72B-Instruct-Q4_K_M.gguf for cell 'qwen2.5-72b'...
|
||||
[05:24:59Z] Waiting for llama-server (cell=qwen2.5-72b, up to 15 min — large mmap on CPU box)...
|
||||
[06:10:43Z] TIMEOUT — llama-server didn't come up within 900s
|
||||
[06:10:43Z] Server failed to start; recording skip
|
||||
[06:10:43Z] Stopping llama-server on VPS50...
|
||||
[06:10:46Z] === bench complete ===
|
||||
[06:10:46Z] Mirroring run-dir to VPS50...
|
||||
[06:10:55Z] On-device mirror: vps50:/home/admin/WeeyugaBench/runs/86241185-24da-4f8e-b254-a60c9465e353/
|
||||
72
runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef/metadata.json
Normal file
72
runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef/metadata.json
Normal file
@@ -0,0 +1,72 @@
|
||||
{
|
||||
"id": "8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef",
|
||||
"title": "predator-a3b-1 \u2014 qwen3 on predator",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-a3b-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2m"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "no calls landed",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef.jsonl",
|
||||
"log_path": "runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T21:24:11Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"predator",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef",
|
||||
"harness_version": "predator-a3b-1",
|
||||
"started_at_utc": "2026-05-04T21:24:11Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "predator",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://10.8.0.7:11436",
|
||||
"purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500",
|
||||
"models": {
|
||||
"qwen3-30b-a3b": {
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500",
|
||||
"gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf",
|
||||
"reasoning_budget": 500,
|
||||
"note": "30B total / 3B active MoE; 17.7GB Q4_K_M; partial CPU offload via mmap"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
2
runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef/run.jsonl
Normal file
2
runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef/run.jsonl
Normal file
@@ -0,0 +1,2 @@
|
||||
{"type": "meta", "benchmark_run_id": "8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef", "harness_version": "predator-a3b-1", "started_at_utc": "2026-05-04T21:24:11Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "predator_target_url": "http://10.8.0.7:11436", "purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500", "models": {"qwen3-30b-a3b": {"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf", "reasoning_budget": 500, "note": "30B total / 3B active MoE; 17.7GB Q4_K_M; partial CPU offload via mmap"}}}
|
||||
{"type": "skipped", "model_key": "qwen3-30b-a3b", "reason": "download_not_finished_within_30min_poll"}
|
||||
66
runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef/run.log
Normal file
66
runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef/run.log
Normal file
@@ -0,0 +1,66 @@
|
||||
[21:24:04Z] === predator-a3b-bench run_id=8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef ===
|
||||
[21:24:04Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef.jsonl
|
||||
[21:24:04Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\8ec3c8cb-58a7-4f33-974c-9c1bfb7824ef
|
||||
[21:24:11Z] Polling for Qwen3-30B-A3B-UD-IQ2_M.gguf on Predator (download in progress)...
|
||||
[21:24:13Z] download progress: 0.14 GB (poll 1/60)
|
||||
[21:24:46Z] download progress: 0.27 GB (poll 2/60)
|
||||
[21:25:19Z] download progress: 0.38 GB (poll 3/60)
|
||||
[21:25:53Z] download progress: 0.48 GB (poll 4/60)
|
||||
[21:26:25Z] download progress: 0.56 GB (poll 5/60)
|
||||
[21:26:58Z] download progress: 0.65 GB (poll 6/60)
|
||||
[21:27:30Z] download progress: 0.76 GB (poll 7/60)
|
||||
[21:28:03Z] download progress: 0.88 GB (poll 8/60)
|
||||
[21:28:36Z] download progress: 1 GB (poll 9/60)
|
||||
[21:29:10Z] download progress: 1.13 GB (poll 10/60)
|
||||
[21:29:43Z] download progress: 1.25 GB (poll 11/60)
|
||||
[21:30:16Z] download progress: 1.35 GB (poll 12/60)
|
||||
[21:30:52Z] download progress: 1.4 GB (poll 13/60)
|
||||
[21:31:25Z] download progress: 1.5 GB (poll 14/60)
|
||||
[21:31:58Z] download progress: 1.6 GB (poll 15/60)
|
||||
[21:32:30Z] download progress: 1.7 GB (poll 16/60)
|
||||
[21:33:03Z] download progress: 1.84 GB (poll 17/60)
|
||||
[21:33:35Z] download progress: 1.96 GB (poll 18/60)
|
||||
[21:34:08Z] download progress: 2.1 GB (poll 19/60)
|
||||
[21:34:41Z] download progress: 2.21 GB (poll 20/60)
|
||||
[21:35:14Z] download progress: 2.32 GB (poll 21/60)
|
||||
[21:35:48Z] download progress: 2.42 GB (poll 22/60)
|
||||
[21:36:21Z] download progress: 2.52 GB (poll 23/60)
|
||||
[21:36:57Z] download progress: 2.62 GB (poll 24/60)
|
||||
[21:37:29Z] download progress: 2.73 GB (poll 25/60)
|
||||
[21:38:03Z] download progress: 2.82 GB (poll 26/60)
|
||||
[21:38:35Z] download progress: 2.9 GB (poll 27/60)
|
||||
[21:39:08Z] download progress: 3.01 GB (poll 28/60)
|
||||
[21:39:41Z] download progress: 3.14 GB (poll 29/60)
|
||||
[21:40:14Z] download progress: 3.24 GB (poll 30/60)
|
||||
[21:40:47Z] download progress: 3.34 GB (poll 31/60)
|
||||
[21:41:20Z] download progress: 3.46 GB (poll 32/60)
|
||||
[21:41:53Z] download progress: 3.57 GB (poll 33/60)
|
||||
[21:42:27Z] download progress: 3.7 GB (poll 34/60)
|
||||
[21:43:03Z] download progress: 3.79 GB (poll 35/60)
|
||||
[21:43:36Z] download progress: 3.88 GB (poll 36/60)
|
||||
[21:44:10Z] download progress: 3.98 GB (poll 37/60)
|
||||
[21:44:42Z] download progress: 4.08 GB (poll 38/60)
|
||||
[21:45:15Z] download progress: 4.18 GB (poll 39/60)
|
||||
[21:45:48Z] download progress: 4.27 GB (poll 40/60)
|
||||
[21:46:21Z] download progress: 4.34 GB (poll 41/60)
|
||||
[21:46:53Z] download progress: 4.42 GB (poll 42/60)
|
||||
[21:47:28Z] download progress: 4.53 GB (poll 43/60)
|
||||
[21:48:00Z] download progress: 4.63 GB (poll 44/60)
|
||||
[21:48:34Z] download progress: 4.71 GB (poll 45/60)
|
||||
[21:49:08Z] download progress: 4.81 GB (poll 46/60)
|
||||
[21:49:41Z] download progress: 4.91 GB (poll 47/60)
|
||||
[21:50:15Z] download progress: 5.01 GB (poll 48/60)
|
||||
[21:50:48Z] download progress: 5.11 GB (poll 49/60)
|
||||
[21:51:22Z] download progress: 5.19 GB (poll 50/60)
|
||||
[21:51:54Z] download progress: 5.28 GB (poll 51/60)
|
||||
[21:52:28Z] download progress: 5.39 GB (poll 52/60)
|
||||
[21:53:00Z] download progress: 5.46 GB (poll 53/60)
|
||||
[21:53:32Z] download progress: 5.6 GB (poll 54/60)
|
||||
[21:54:05Z] download progress: 5.78 GB (poll 55/60)
|
||||
[21:54:38Z] download progress: 5.88 GB (poll 56/60)
|
||||
[21:55:12Z] download progress: 5.91 GB (poll 57/60)
|
||||
[21:55:46Z] download progress: 5.94 GB (poll 58/60)
|
||||
[21:56:19Z] download progress: 6.04 GB (poll 59/60)
|
||||
[21:56:52Z] download progress: 6.13 GB (poll 60/60)
|
||||
[21:57:22Z] GGUF not ready after 30 min; bailing
|
||||
[21:57:22Z] Mirroring run-dir to Predator...
|
||||
172
runs/91751afd-068a-477b-8f40-6e1963f803f1/metadata.json
Normal file
172
runs/91751afd-068a-477b-8f40-6e1963f803f1/metadata.json
Normal file
@@ -0,0 +1,172 @@
|
||||
{
|
||||
"id": "91751afd-068a-477b-8f40-6e1963f803f1",
|
||||
"title": "vps50-cpu-matrix-1 \u2014 gemma/phi-4/qwen2.5/qwen3 on vps50",
|
||||
"date": "2026-05-05",
|
||||
"hardware": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"harness": "vps50-cpu-matrix-1",
|
||||
"model_family": "gemma/phi-4/qwen2.5/qwen3",
|
||||
"model_sizes": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b",
|
||||
"gemma-4-26b-a4b-it"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "2 calls across 5 cell(s)",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/91751afd-068a-477b-8f40-6e1963f803f1.jsonl",
|
||||
"log_path": "runs/91751afd-068a-477b-8f40-6e1963f803f1.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b-it-q4km-cpu-ctx32k",
|
||||
"n_calls": 2,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 2,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-05T10:23:13Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"cpu",
|
||||
"gemma",
|
||||
"matrix",
|
||||
"qwen2.5",
|
||||
"qwen3",
|
||||
"vps50"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b-it-q4km-cpu-ctx32k",
|
||||
"n_calls": 2,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": [
|
||||
{
|
||||
"type": "ram_snapshot",
|
||||
"model_key": "gemma-4-26b-a4b",
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b-it-q4km-cpu-ctx32k",
|
||||
"raw": "total used free shared buff/cache available\nMem: 64301 20415 19503 37 25287 43885\nSwap: 0 0 0"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "gemma-4-26b-a4b",
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b-it-q4km-cpu-ctx32k",
|
||||
"raw": "| model | size | params | backend | threads | test | t/s |\n| ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: |\n| gemma4 26B.A4B Q4_K - Medium | 15.77 GiB | 25.23 B | CPU | 16 | pp256 | 0.86 \u00b1 0.13 |"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "91751afd-068a-477b-8f40-6e1963f803f1",
|
||||
"harness_version": "vps50-cpu-matrix-1",
|
||||
"started_at_utc": "2026-05-05T10:23:13Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://81.17.99.14:11436",
|
||||
"node_specs": {
|
||||
"cpu": "AMD EPYC 16 vCPUs",
|
||||
"ram_gb": 62,
|
||||
"free_ram_gb": 57,
|
||||
"gpu": "none"
|
||||
},
|
||||
"purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)",
|
||||
"models": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b"
|
||||
]
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
3
runs/91751afd-068a-477b-8f40-6e1963f803f1/run.jsonl
Normal file
3
runs/91751afd-068a-477b-8f40-6e1963f803f1/run.jsonl
Normal file
@@ -0,0 +1,3 @@
|
||||
{"type": "meta", "benchmark_run_id": "91751afd-068a-477b-8f40-6e1963f803f1", "harness_version": "vps50-cpu-matrix-1", "started_at_utc": "2026-05-05T10:23:13Z", "host": "Slobodans-MacBook-Air.local", "node": "vps50", "engine": "llamacpp", "predator_target_url": "http://81.17.99.14:11436", "node_specs": {"cpu": "AMD EPYC 16 vCPUs", "ram_gb": 62, "free_ram_gb": 57, "gpu": "none"}, "purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)", "models": ["phi-4", "gemma-4-26b-a4b", "qwen3-30b-a3b", "qwen2.5-72b"]}
|
||||
{"type": "ram_snapshot", "model_key": "gemma-4-26b-a4b", "cell_id": "vps50:llamacpp:gemma-4-26b-a4b-it-q4km-cpu-ctx32k", "raw": "total used free shared buff/cache available\nMem: 64301 20415 19503 37 25287 43885\nSwap: 0 0 0"}
|
||||
{"type": "llama_bench", "model_key": "gemma-4-26b-a4b", "cell_id": "vps50:llamacpp:gemma-4-26b-a4b-it-q4km-cpu-ctx32k", "raw": "| model | size | params | backend | threads | test | t/s |\n| ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: |\n| gemma4 26B.A4B Q4_K - Medium | 15.77 GiB | 25.23 B | CPU | 16 | pp256 | 0.86 \u00b1 0.13 |"}
|
||||
14
runs/91751afd-068a-477b-8f40-6e1963f803f1/run.log
Normal file
14
runs/91751afd-068a-477b-8f40-6e1963f803f1/run.log
Normal file
@@ -0,0 +1,14 @@
|
||||
[10:23:01Z] === vps50-cpu-matrix run_id=91751afd-068a-477b-8f40-6e1963f803f1 ===
|
||||
[10:23:01Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/91751afd-068a-477b-8f40-6e1963f803f1.jsonl
|
||||
[10:23:01Z] Plan: gemma-4-26b-a4b qwen3-30b-a3b gemma-4-e4b (in size order)
|
||||
[10:23:01Z] Creating run-mirror dir on VPS50: /home/admin/WeeyugaBench/runs/91751afd-068a-477b-8f40-6e1963f803f1
|
||||
[10:23:13Z] >>> CELL: gemma-4-26b-a4b (gemma-4-26B-A4B-it-UD-Q4_K_M.gguf)
|
||||
[10:23:13Z] Polling for gemma-4-26B-A4B-it-UD-Q4_K_M.gguf (need >= 15.5 GB) on VPS50...
|
||||
[10:23:18Z] gemma-4-26B-A4B-it-UD-Q4_K_M.gguf ready: 15.78 GB
|
||||
[10:23:18Z] Stopping llama-server on VPS50...
|
||||
[10:23:25Z] Starting llama-server with gemma-4-26B-A4B-it-UD-Q4_K_M.gguf for cell 'gemma-4-26b-a4b'...
|
||||
[10:23:27Z] Waiting for llama-server (cell=gemma-4-26b-a4b, up to 15 min — large mmap on CPU box)...
|
||||
[10:39:00Z] llama-server up after 760s
|
||||
[10:39:07Z] Running llama-bench for gemma-4-26b-a4b (CPU, may take 15-30 min for 30B+)...
|
||||
[12:49:18Z] Running prompts for gemma-4-26b-a4b (cold + 3 warm per prompt)...
|
||||
[12:49:18Z] prompt=hello cold
|
||||
3572
runs/ad057f5b-ed3f-4a95-a38e-361be310ffd6/metadata.json
Normal file
3572
runs/ad057f5b-ed3f-4a95-a38e-361be310ffd6/metadata.json
Normal file
File diff suppressed because it is too large
Load Diff
98
runs/ad057f5b-ed3f-4a95-a38e-361be310ffd6/run.jsonl
Normal file
98
runs/ad057f5b-ed3f-4a95-a38e-361be310ffd6/run.jsonl
Normal file
@@ -0,0 +1,98 @@
|
||||
{"type": "meta", "benchmark_run_id": "ad057f5b-ed3f-4a95-a38e-361be310ffd6", "harness_version": "3", "harness_path": "scripts/benchmarks/run_pavilion_weeyuga.py", "git_sha": "371ce70c8708ce0aedbe4f3bf096f8e8f8b11d43", "git_dirty": true, "started_at_utc": "2026-04-29T09:51:46Z", "host": "Slobodans-MacBook-Air.local", "load_avg_start": [1.60205078125, 1.9716796875, 1.95751953125], "target_url": "http://10.8.0.3:11435", "weeyuga_url": "http://10.8.0.3:11435", "cell_id_prefix": "pavilion:weeyuga", "execution_shape": "per-model-block", "phase_plan": "hello+5q", "models_planned": ["qwen3.5:4b", "qwen3.5:35b-a3b-uncensored-iq1m", "qwen3.5:35b-a3b-iq2s", "qwen3.5:9b-q6k", "qwen3.5:9b-q4km", "qwen3.5:2b", "qwen3.5:0.8b", "qwen3.5:9b", "qwen2.5-coder:14b", "qwen2.5-coder:3b", "qwen3:14b", "qwen3:8b", "qwen3:4b", "qwen2.5:3b", "qwen2.5-coder:1.5b", "qwen2.5-coder:0.5b"], "canonical_options": {"temperature": 0.1, "num_ctx": 4096, "num_predict": 2048}, "timeout_seconds": 360, "suite_5q_path": "/Users/slobodan/Documents/MyServers/instances/vps-81-17-99-14/telemetry/small_model_eval_questions.json", "suite_20q_path": "/Users/slobodan/Documents/MyServers/instances/vps-81-17-99-14/telemetry/python_task_suite_questions.json", "env_inference_route": null, "env_llamacpp_url": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:51:53Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 7.103, "prompt_tokens": 16, "completion_tokens": 251, "tokens_per_second": 35.34, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 62, "response_preview": "Hi there! I'm glad to help! What would you like to do today? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:52:21Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 28.241, "prompt_tokens": 71, "completion_tokens": 1124, "tokens_per_second": 39.8, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 246, "response_preview": "```bash\n#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n usage=$(df -P / | awk '{print $5}')\n if [ \"$usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${usage}% (above 85% threshold)\"\n exit 1\n fi\n", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:53:11Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 49.606, "prompt_tokens": 55, "completion_tokens": 2048, "tokens_per_second": 41.29, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 1630, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"\n Check if a string is a valid IPv4 address.\n \"\"\"\n if not isinstance(value, str):\n return False\n parts = value.split('.')\n if len(parts) != 4:\n return Fals", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "split('.')"], "marker_hit_rate": 0.5, "format_rule": "python_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:53:38Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 26.721, "prompt_tokens": 39, "completion_tokens": 1076, "tokens_per_second": 40.27, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 116, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nnginx -t\nif [ $? -eq 0 ]; then nginx -s reload; else nginx -t; fi", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:54:27Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 49.969, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 40.99, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 7628, "response_preview": "# Python CLI for Git-Scanned YAML Schema Validation\n\n```python\n#!/usr/bin/env python3\n\"\"\"\nYAML Schema Validator CLI\nScans git repos for changed YAML files and validates against JSON schemas.\n\"\"\"\n\nimport sys\nimport os\nimport json\nimport yaml", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["JSON schema", "git"], "marker_hit_rate": 0.333, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:54:56Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 28.774, "prompt_tokens": 56, "completion_tokens": 1124, "tokens_per_second": 39.06, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 468, "response_preview": "- Review `sshd_config` for misconfigurations that might cause permission denied errors.\n- Review `authorized_keys` permissions to ensure only trusted keys are allowed to connect.\n- Review `PasswordAuthentication` settings to ensure password", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:55:15Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m", "model": "qwen3.5:35b-a3b-uncensored-iq1m", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 18.944, "prompt_tokens": 16, "completion_tokens": 750, "tokens_per_second": 39.59, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 185, "response_preview": "Hello! I'm glad to help you. What would you like to do today? Whether you need assistance with a specific task, need help with something, or just want to chat, I'm here to assist you! 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:55:42Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m", "model": "qwen3.5:35b-a3b-uncensored-iq1m", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 27.028, "prompt_tokens": 71, "completion_tokens": 1123, "tokens_per_second": 41.55, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 242, "response_preview": "#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n usage=$(df -P / | awk '{print $5}')\n if [ \"$usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${usage}% (above 85% threshold)\"\n exit 1\n fi\nfi\n\nexit", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:56:02Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m", "model": "qwen3.5:35b-a3b-uncensored-iq1m", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 19.353, "prompt_tokens": 55, "completion_tokens": 776, "tokens_per_second": 40.1, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 665, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"\n Check if a string represents a valid IPv4 address.\n \"\"\"\n if not isinstance(value, str):\n return False\n parts = value.split('.')\n if len(parts) != 4:\n ret", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:56:27Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m", "model": "qwen3.5:35b-a3b-uncensored-iq1m", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 25.905, "prompt_tokens": 39, "completion_tokens": 1073, "tokens_per_second": 41.42, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 104, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nnginx -t\nif [ $? -eq 0 ]; then\n nginx -s reload\nfi", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:57:17Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m", "model": "qwen3.5:35b-a3b-uncensored-iq1m", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 49.427, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 41.43, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 9007, "response_preview": "# Python CLI for Git-Scanned YAML Schema Validation\n\n```python\n#!/usr/bin/env python3\n\"\"\"\nCLI for scanning git repos for changed YAML files and validating against JSON schemas.\n\"\"\"\n\nimport argparse\nimport json\nimport os\nimport sys\nfrom path", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["JSON schema", "git"], "marker_hit_rate": 0.333, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:57:44Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m", "model": "qwen3.5:35b-a3b-uncensored-iq1m", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 27.269, "prompt_tokens": 56, "completion_tokens": 1108, "tokens_per_second": 40.63, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 354, "response_preview": "- Review `sshd_config` to ensure security settings are properly configured.\n- Verify `authorized_keys` permissions to prevent unauthorized access.\n- Check `PasswordAuthentication` settings to ensure secure password handling.\n- Review `journ", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:57:48Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s", "model": "qwen3.5:35b-a3b-iq2s", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 3.684, "prompt_tokens": 16, "completion_tokens": 134, "tokens_per_second": 36.37, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 147, "response_preview": "Hello! I'd love to help you. What would you like to work on? Whether it's writing, coding, problem-solving, or just chatting, I'm here to assist! 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:58:15Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s", "model": "qwen3.5:35b-a3b-iq2s", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 27.061, "prompt_tokens": 71, "completion_tokens": 1121, "tokens_per_second": 41.42, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 239, "response_preview": "#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n disk_usage=$(df -P / | awk '{print $5}')\n if [ \"$disk_usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${disk_usage}% (above 85%)\"\n exit 1\n fi\nfi", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:58:45Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s", "model": "qwen3.5:35b-a3b-iq2s", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 29.886, "prompt_tokens": 55, "completion_tokens": 1232, "tokens_per_second": 41.22, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 613, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"Check if a string is a valid IPv4 address.\"\"\"\n if not isinstance(value, str):\n return False\n parts = value.split('.')\n if len(parts) != 4:\n return False\n for ", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T09:59:11Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s", "model": "qwen3.5:35b-a3b-iq2s", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 25.688, "prompt_tokens": 39, "completion_tokens": 1060, "tokens_per_second": 41.26, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 75, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nnginx -t\nnginx -s reload", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:00:01Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s", "model": "qwen3.5:35b-a3b-iq2s", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 50.264, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 40.74, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 7205, "response_preview": "```python\n#!/usr/bin/env python3\n\"\"\"\nYAML Schema Validator CLI\nScans git repos for changed YAML files and validates against JSON schemas.\n\"\"\"\n\nimport argparse\nimport json\nimport os\nimport sys\nfrom pathlib import Path\nfrom typing import List", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["JSON schema", "git"], "marker_hit_rate": 0.333, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:00:28Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s", "model": "qwen3.5:35b-a3b-iq2s", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 27.352, "prompt_tokens": 56, "completion_tokens": 1116, "tokens_per_second": 40.8, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 409, "response_preview": "- Review `sshd_config` for hardening settings before making changes.\n- Review `authorized_keys` permissions to ensure only trusted keys are allowed.\n- Review `PasswordAuthentication` settings to prevent unauthorized password usage.\n- Review", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:00:33Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k", "model": "qwen3.5:9b-q6k", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 4.401, "prompt_tokens": 16, "completion_tokens": 163, "tokens_per_second": 37.04, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 202, "response_preview": "Hello! I'm glad to help! 😊 What would you like to do today? Whether it's answering questions, solving problems, writing content, or just chatting, I'm here to assist you. Just let me know what you need!", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:01:00Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k", "model": "qwen3.5:9b-q6k", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 27.133, "prompt_tokens": 71, "completion_tokens": 1124, "tokens_per_second": 41.43, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 246, "response_preview": "```bash\n#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n usage=$(df -P / | awk '{print $5}')\n if [ \"$usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${usage}% (above 85% threshold)\"\n exit 1\n fi\n", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:01:20Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k", "model": "qwen3.5:9b-q6k", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 20.684, "prompt_tokens": 55, "completion_tokens": 838, "tokens_per_second": 40.51, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1012, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"\n Check if a string is a valid IPv4 address.\n \n Args:\n value (str): The string to validate as an IPv4 address.\n \n Returns:\n bool: True if the string is", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:01:27Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k", "model": "qwen3.5:9b-q6k", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 6.142, "prompt_tokens": 39, "completion_tokens": 241, "tokens_per_second": 39.24, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 75, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nnginx -t\nnginx -s reload", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:02:16Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k", "model": "qwen3.5:9b-q6k", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 49.257, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 41.58, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 7775, "response_preview": "# Python CLI for Git-Scanned YAML Schema Validation\n\n## Step 1: Project Setup and Imports\n\n```python\nimport os\nimport sys\nimport json\nimport yaml\nfrom pathlib import Path\nfrom typing import List, Dict, Any, Optional\nimport argparse\n\n# Requi", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["git"], "marker_hit_rate": 0.167, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:02:45Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k", "model": "qwen3.5:9b-q6k", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 29.306, "prompt_tokens": 56, "completion_tokens": 1165, "tokens_per_second": 39.75, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 574, "response_preview": "- Review your `sshd_config` file to ensure the `PasswordAuthentication` setting is enabled and `PermitRootLogin` is set to `yes` for security.\n- Verify that your `authorized_keys` file contains only valid public keys and is not empty.\n-", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:02:51Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km", "model": "qwen3.5:9b-q4km", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 5.912, "prompt_tokens": 16, "completion_tokens": 220, "tokens_per_second": 37.21, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 186, "response_preview": "Hello! I'm glad to help! 😊 \nWhat would you like to do today? For example: \n- Ask a question? \n- Solve a problem? \n- Get information? \n- Or just chat? \n\nLet me know what you need! 🙌", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:03:07Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km", "model": "qwen3.5:9b-q4km", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 15.618, "prompt_tokens": 71, "completion_tokens": 636, "tokens_per_second": 40.72, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 263, "response_preview": "```bash\n#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n usage=$(df -P / 2>&1 | tail -n 1 | awk '{print $5}')\n if [ \"$usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${usage}% (above 85% threshold)\"\n ", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:03:31Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km", "model": "qwen3.5:9b-q4km", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 24.316, "prompt_tokens": 55, "completion_tokens": 947, "tokens_per_second": 38.95, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 493, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n if not isinstance(value, str):\n return False\n if len(value) != 4:\n return False\n for i in range(4):\n if not value[i].isdigit():\n return False\n ret", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert"], "marker_hit_rate": 0.75, "format_rule": "python_code", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:03:56Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km", "model": "qwen3.5:9b-q4km", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 25.495, "prompt_tokens": 39, "completion_tokens": 1060, "tokens_per_second": 41.58, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 75, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nnginx -t\nnginx -s reload", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:04:46Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km", "model": "qwen3.5:9b-q4km", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 49.664, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 41.24, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 9006, "response_preview": "```python\n#!/usr/bin/env python3\n\"\"\"\nCLI: git-yaml-validator\nScans a git repo for changed YAML files, validates them against a JSON schema, and exits nonzero on failure.\n\"\"\"\n\nimport argparse\nimport json\nimport os\nimport sys\nfrom pathlib imp", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["JSON schema", "git"], "marker_hit_rate": 0.333, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:05:14Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km", "model": "qwen3.5:9b-q4km", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 27.576, "prompt_tokens": 56, "completion_tokens": 1128, "tokens_per_second": 40.91, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 401, "response_preview": "- Review `sshd_config` to ensure `PermitRootLogin no` and `PasswordAuthentication no` are set correctly.\n- Review `authorized_keys` to ensure no sensitive keys are stored or misconfigured.\n- Run `journalctl` to check for recent security iss", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:05:18Z", "cell_id": "pavilion:weeyuga:qwen3.5:2b", "model": "qwen3.5:2b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 4.366, "prompt_tokens": 16, "completion_tokens": 157, "tokens_per_second": 35.96, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 91, "response_preview": "Hello! I'd be happy to help you with anything you need. What can I assist you with today? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:05:36Z", "cell_id": "pavilion:weeyuga:qwen3.5:2b", "model": "qwen3.5:2b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 18.333, "prompt_tokens": 71, "completion_tokens": 751, "tokens_per_second": 40.96, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 246, "response_preview": "```bash\n#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n usage=$(df -P / | awk '{print $5}')\n if [ \"$usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${usage}% (above 85% threshold)\"\n exit 1\n fi\n", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:05:56Z", "cell_id": "pavilion:weeyuga:qwen3.5:2b", "model": "qwen3.5:2b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 19.861, "prompt_tokens": 55, "completion_tokens": 820, "tokens_per_second": 41.29, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 771, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"Check if a string is a valid IPv4 address.\"\"\"\n if not isinstance(value, str):\n return False\n parts = value.split('.')\n if len(parts) != 4:\n return False\n for ", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:06:22Z", "cell_id": "pavilion:weeyuga:qwen3.5:2b", "model": "qwen3.5:2b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 25.77, "prompt_tokens": 39, "completion_tokens": 1060, "tokens_per_second": 41.13, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 75, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nnginx -t\nnginx -s reload", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:07:12Z", "cell_id": "pavilion:weeyuga:qwen3.5:2b", "model": "qwen3.5:2b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 50.003, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 40.96, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 11731, "response_preview": "1. Initialize a Python project structure with a `main.py` script and a `schema.json` file for validation.\n2. Create a `git` command-line interface that uses `git diff` to identify changed files in the repository.\n3. Implement a YAML parser ", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "marker_hit_rate": 1.0, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:07:39Z", "cell_id": "pavilion:weeyuga:qwen3.5:2b", "model": "qwen3.5:2b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 27.148, "prompt_tokens": 56, "completion_tokens": 1113, "tokens_per_second": 41.0, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 378, "response_preview": "- Review `sshd_config` for hardening settings before making changes.\n- Review `authorized_keys` permissions to ensure only trusted keys are allowed.\n- Review `PasswordAuthentication` settings to prevent unauthorized password usage.\n- Review", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:07:43Z", "cell_id": "pavilion:weeyuga:qwen3.5:0.8b", "model": "qwen3.5:0.8b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 3.869, "prompt_tokens": 16, "completion_tokens": 141, "tokens_per_second": 36.44, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 57, "response_preview": "Hello! I'm glad to help you. What would you like to do? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:08:00Z", "cell_id": "pavilion:weeyuga:qwen3.5:0.8b", "model": "qwen3.5:0.8b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 16.794, "prompt_tokens": 71, "completion_tokens": 688, "tokens_per_second": 40.97, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 217, "response_preview": "#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n usage=$(df -P / 2>&1 | awk '{print $5}')\n if [ \"$usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${usage}%\"\n exit 1\n fi\nfi", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:08:18Z", "cell_id": "pavilion:weeyuga:qwen3.5:0.8b", "model": "qwen3.5:0.8b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 17.714, "prompt_tokens": 55, "completion_tokens": 722, "tokens_per_second": 40.76, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 644, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"Check if a string is a valid IPv4 address.\"\"\"\n if not isinstance(value, str):\n return False\n parts = value.split('.')\n if len(parts) != 4:\n return False\n for ", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:08:44Z", "cell_id": "pavilion:weeyuga:qwen3.5:0.8b", "model": "qwen3.5:0.8b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 26.52, "prompt_tokens": 39, "completion_tokens": 1087, "tokens_per_second": 40.99, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 177, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.backup\nnginx -t\nif nginx -t; then\n nginx -s reload\nelse\n echo \"Validation failed, reloading nginx...\"\n nginx -s reload\nfi", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:09:35Z", "cell_id": "pavilion:weeyuga:qwen3.5:0.8b", "model": "qwen3.5:0.8b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 50.97, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 40.18, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 7262, "response_preview": "# Python CLI for Git-Scanned YAML Schema Validation\n\n```python\n#!/usr/bin/env python3\n\"\"\"\nYAML Schema Validator CLI\nScans git repos for changed YAML files and validates against JSON schemas.\n\"\"\"\n\nimport argparse\nimport json\nimport os\nimport", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "marker_hit_rate": 1.0, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:10:03Z", "cell_id": "pavilion:weeyuga:qwen3.5:0.8b", "model": "qwen3.5:0.8b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 27.569, "prompt_tokens": 56, "completion_tokens": 1125, "tokens_per_second": 40.81, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 428, "response_preview": "- Review `sshd_config` for security settings like `PermitRootLogin no` and `PasswordAuthentication no`.\n- Review `authorized_keys` permissions and ownership to ensure only trusted users can access.\n- Review `PasswordAuthentication` settings", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:10:13Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b", "model": "qwen3.5:9b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 10.852, "prompt_tokens": 16, "completion_tokens": 416, "tokens_per_second": 38.33, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 157, "response_preview": "Hello! I'm glad to help you. What would you like to do today? Whether it's answering questions, solving problems, or just chatting, I'm here to assist you! 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:10:40Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b", "model": "qwen3.5:9b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 26.865, "prompt_tokens": 71, "completion_tokens": 1127, "tokens_per_second": 41.95, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 247, "response_preview": "#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n usage=$(df -P / 2>&1 | awk '{print $5}')\n if [ \"$usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${usage}% (above 85% threshold)\"\n exit 1\n fi\nfi\n", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:10:58Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b", "model": "qwen3.5:9b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 17.892, "prompt_tokens": 55, "completion_tokens": 732, "tokens_per_second": 40.91, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 574, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"Check if a string is a valid IPv4 address.\"\"\"\n if not isinstance(value, str):\n return False\n parts = value.split('.')\n if len(parts) != 4:\n return False\n for ", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:11:25Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b", "model": "qwen3.5:9b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 26.612, "prompt_tokens": 39, "completion_tokens": 1073, "tokens_per_second": 40.32, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 104, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nnginx -t\nif [ $? -eq 0 ]; then\n nginx -s reload\nfi", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:14Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b", "model": "qwen3.5:9b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 49.467, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 41.4, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 9329, "response_preview": "```python\n#!/usr/bin/env python3\n\"\"\"\nYAML Schema Validator CLI\nScans git repos for changed YAML files and validates against a JSON schema.\n\"\"\"\n\nimport argparse\nimport json\nimport os\nimport sys\nfrom pathlib import Path\nfrom typing import Lis", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["JSON schema", "git"], "marker_hit_rate": 0.333, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:42Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b", "model": "qwen3.5:9b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 27.33, "prompt_tokens": 56, "completion_tokens": 1104, "tokens_per_second": 40.4, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 279, "response_preview": "- Review `sshd_config` to ensure `PasswordAuthentication` is enabled.\n- Verify `authorized_keys` contains the correct public key.\n- Run `journalctl` to check for recent errors.\n- Review `rollback` to ensure the current state is safe.\n- Ensu", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:49Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:14b", "model": "qwen2.5-coder:14b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 7.472, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": false, "error": "<HTTPError 500: 'Internal Server Error'>"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:50Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:14b", "model": "qwen2.5-coder:14b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 0.882, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "bash_code", "format_ok": false, "usable_answer": false, "error": "<HTTPError 500: 'Internal Server Error'>"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:51Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:14b", "model": "qwen2.5-coder:14b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 1.059, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "python_code", "format_ok": false, "usable_answer": false, "error": "<HTTPError 500: 'Internal Server Error'>"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:52Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:14b", "model": "qwen2.5-coder:14b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 0.922, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "shell_lines", "format_ok": false, "usable_answer": false, "error": "<HTTPError 500: 'Internal Server Error'>"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:53Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:14b", "model": "qwen2.5-coder:14b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 0.991, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": false, "error": "<HTTPError 500: 'Internal Server Error'>"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:12:54Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:14b", "model": "qwen2.5-coder:14b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 1.054, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "five_bullets", "format_ok": false, "usable_answer": false, "error": "<HTTPError 500: 'Internal Server Error'>"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:13:22Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:3b", "model": "qwen2.5-coder:3b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 28.318, "prompt_tokens": 35, "completion_tokens": 17, "tokens_per_second": 0.6, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 62, "response_preview": "Of course! I'm here to help. What do you need assistance with?", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:13:50Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:3b", "model": "qwen2.5-coder:3b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 27.993, "prompt_tokens": 90, "completion_tokens": 378, "tokens_per_second": 13.5, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1474, "response_preview": "Certainly! Below is a Bash script that checks disk usage for `/`, prints a human-readable warning, and exits with status 1 when usage is above 85%.\n\n```bash\n#!/bin/bash\n\n# Check if df -P / command exists\nif ! command -v df &> /dev/null; the", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:14:15Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:3b", "model": "qwen2.5-coder:3b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 24.785, "prompt_tokens": 74, "completion_tokens": 305, "tokens_per_second": 12.31, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1075, "response_preview": "```python\nimport pytest\n\ndef is_valid_ipv4(value: str) -> bool:\n parts = value.split('.')\n if len(parts) != 4:\n return False\n \n for part in parts:\n try:\n num = int(part)\n if not (0 <= num <= 2", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:14:19Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:3b", "model": "qwen2.5-coder:3b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 3.778, "prompt_tokens": 58, "completion_tokens": 43, "tokens_per_second": 11.38, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 140, "response_preview": "```bash\nsudo cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\n\nsudo nginx -t\n\nif [ $? -eq 0 ]; then\n sudo systemctl reload nginx\nfi\n```", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx"], "marker_hit_rate": 0.75, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:14:56Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:3b", "model": "qwen2.5-coder:3b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 36.655, "prompt_tokens": 62, "completion_tokens": 501, "tokens_per_second": 13.67, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 2192, "response_preview": "1. **Install Required Packages**: Ensure you have `git`, `pyyaml`, and `jsonschema` installed. You can install these using pip:\n ```bash\n pip install gitpython pyyaml jsonschema\n ```\n\n2. **Create the Python Script**: Create a new file", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "marker_hit_rate": 1.0, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:15:08Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:3b", "model": "qwen2.5-coder:3b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 11.989, "prompt_tokens": 75, "completion_tokens": 154, "tokens_per_second": 12.85, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 699, "response_preview": "1. **Check `sshd_config`**: Ensure that `PasswordAuthentication` is set to `no`. This prevents password-based authentication.\n2. **Review `authorized_keys`**: Verify that the public keys in `~/.ssh/authorized_keys` are correct and match tho", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:21:08Z", "cell_id": "pavilion:weeyuga:qwen3:14b", "model": "qwen3:14b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 360.058, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:27:08Z", "cell_id": "pavilion:weeyuga:qwen3:14b", "model": "qwen3:14b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 360.069, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "bash_code", "format_ok": false, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:33:08Z", "cell_id": "pavilion:weeyuga:qwen3:14b", "model": "qwen3:14b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 360.075, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "python_code", "format_ok": false, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:39:08Z", "cell_id": "pavilion:weeyuga:qwen3:14b", "model": "qwen3:14b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 360.065, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "shell_lines", "format_ok": false, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:44:37Z", "cell_id": "pavilion:weeyuga:qwen3:14b", "model": "qwen3:14b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 328.959, "prompt_tokens": 43, "completion_tokens": 903, "tokens_per_second": 2.75, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 751, "response_preview": "1. **Use `git diff` to identify changed YAML files**: Execute `git diff --name-only` to list modified files, then filter for `.yaml` or `.yml` extensions using a regex or `grep` to isolate relevant files. \n\n2. **Parse YAML files into Pytho", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "marker_hit_rate": 1.0, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T10:48:48Z", "cell_id": "pavilion:weeyuga:qwen3:14b", "model": "qwen3:14b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 251.383, "prompt_tokens": 56, "completion_tokens": 787, "tokens_per_second": 3.13, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 794, "response_preview": "- **Check `sshd_config` for `PasswordAuthentication` setting**: Ensure it's enabled if password login is required, or confirm public key authentication is properly configured. \n- **Verify `authorized_keys` file permissions and content**: C", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:20:47Z", "cell_id": "pavilion:weeyuga:qwen3:8b", "model": "qwen3:8b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 360.092, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:25:53Z", "cell_id": "pavilion:weeyuga:qwen3:8b", "model": "qwen3:8b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 305.673, "prompt_tokens": 71, "completion_tokens": 1427, "tokens_per_second": 4.67, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 214, "response_preview": "#!/bin/bash\n\nusage_percent=$(df -P / | grep '/$' | awk '{print $5}' | cut -d'%' -f1)\n\nif (( usage_percent > 85 )); then\n echo \"Warning: / is at $usage_percent% usage. Please free up space.\"\n exit 1\nfi\n\nexit 0", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:31:53Z", "cell_id": "pavilion:weeyuga:qwen3:8b", "model": "qwen3:8b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 360.074, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "python_code", "format_ok": false, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:36:36Z", "cell_id": "pavilion:weeyuga:qwen3:8b", "model": "qwen3:8b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 283.312, "prompt_tokens": 39, "completion_tokens": 933, "tokens_per_second": 3.29, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 114, "response_preview": "cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.$(date +\\%F-\\%T)\nnginx -t\nif [ $? -eq 0 ]; then nginx -s reload; fi", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:39:10Z", "cell_id": "pavilion:weeyuga:qwen3:8b", "model": "qwen3:8b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 154.227, "prompt_tokens": 43, "completion_tokens": 776, "tokens_per_second": 5.03, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 363, "response_preview": "1. Use `git diff --name-only` to list changed files, filter for `.yml`/`.yaml` extensions. \n2. Parse each YAML file into JSON and load the provided JSON schema using `jsonschema`. \n3. Validate each parsed YAML against the schema, collecti", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "marker_hit_rate": 1.0, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:41:15Z", "cell_id": "pavilion:weeyuga:qwen3:8b", "model": "qwen3:8b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 124.742, "prompt_tokens": 56, "completion_tokens": 629, "tokens_per_second": 5.04, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 921, "response_preview": "- **Verify `sshd_config` settings**: Ensure `PasswordAuthentication` is set to `no` (if disabling passwords) and `PermitRootLogin` is configured securely. Check for syntax errors using `sshd_config_test`. \n- **Inspect `authorized_keys` fil", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:43:45Z", "cell_id": "pavilion:weeyuga:qwen3:4b", "model": "qwen3:4b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 150.036, "prompt_tokens": 16, "completion_tokens": 411, "tokens_per_second": 2.74, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 248, "response_preview": "Hi! 👋 Absolutely — I'm here to help. 😊 \n**What would you like assistance with?** \n(Whether it's a question, problem, creative idea, or just need a quick explanation — I'm all ears!)\n\nJust share what you need, and I'll do my best to suppor", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:47:43Z", "cell_id": "pavilion:weeyuga:qwen3:4b", "model": "qwen3:4b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 238.435, "prompt_tokens": 71, "completion_tokens": 2048, "tokens_per_second": 8.59, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 0, "response_preview": "", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "bash_code", "format_ok": false, "usable_answer": false, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:51:39Z", "cell_id": "pavilion:weeyuga:qwen3:4b", "model": "qwen3:4b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 235.851, "prompt_tokens": 55, "completion_tokens": 2048, "tokens_per_second": 8.68, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 0, "response_preview": "", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "python_code", "format_ok": false, "usable_answer": false, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:55:33Z", "cell_id": "pavilion:weeyuga:qwen3:4b", "model": "qwen3:4b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 233.393, "prompt_tokens": 39, "completion_tokens": 2048, "tokens_per_second": 8.77, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 0, "response_preview": "", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "shell_lines", "format_ok": false, "usable_answer": false, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T11:59:33Z", "cell_id": "pavilion:weeyuga:qwen3:4b", "model": "qwen3:4b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 240.036, "prompt_tokens": 43, "completion_tokens": 2048, "tokens_per_second": 8.53, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 0, "response_preview": "", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "four_numbered_steps", "format_ok": false, "usable_answer": false, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:03:30Z", "cell_id": "pavilion:weeyuga:qwen3:4b", "model": "qwen3:4b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 237.376, "prompt_tokens": 56, "completion_tokens": 2048, "tokens_per_second": 8.63, "finish_reason": "length", "weeyuga_meta": null, "status_code": 200, "response_chars": 0, "response_preview": "", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": [], "marker_hit_rate": 0.0, "format_rule": "five_bullets", "format_ok": false, "usable_answer": false, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:03:59Z", "cell_id": "pavilion:weeyuga:qwen2.5:3b", "model": "qwen2.5:3b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 28.558, "prompt_tokens": 35, "completion_tokens": 19, "tokens_per_second": 0.67, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 72, "response_preview": "Of course! I'd be happy to help. What do you need assistance with today?", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:04:07Z", "cell_id": "pavilion:weeyuga:qwen2.5:3b", "model": "qwen2.5:3b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 7.986, "prompt_tokens": 90, "completion_tokens": 97, "tokens_per_second": 12.15, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 284, "response_preview": "```bash\n#!/bin/bash\n\n# Check disk usage for /\nusage=$(df -Ph / | awk 'NR==2 {print $5}')\n\n# Convert to percentage and check if it's above 85%\nif (( $(echo \"$usage > 85\" | bc -l) )); then\n echo \"Warning: Disk usage on / is over 85%. Curre", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["85", "exit 1"], "marker_hit_rate": 0.5, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:04:36Z", "cell_id": "pavilion:weeyuga:qwen2.5:3b", "model": "qwen2.5:3b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 28.968, "prompt_tokens": 74, "completion_tokens": 378, "tokens_per_second": 13.05, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1393, "response_preview": "```python\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"\n Checks if the given value is a valid IPv4 address.\n \n :param value: A string representing the IP address to validate.\n :return: True if the value is a valid IPv4 address,", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:04:39Z", "cell_id": "pavilion:weeyuga:qwen2.5:3b", "model": "qwen2.5:3b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 3.395, "prompt_tokens": 58, "completion_tokens": 37, "tokens_per_second": 10.9, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 123, "response_preview": "sudo cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\nsudo nginx -t\nif [ $? -eq 0 ]; then\n sudo systemctl reload nginx\nfi", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx"], "marker_hit_rate": 0.75, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:05:26Z", "cell_id": "pavilion:weeyuga:qwen2.5:3b", "model": "qwen2.5:3b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 46.998, "prompt_tokens": 62, "completion_tokens": 606, "tokens_per_second": 12.89, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 2760, "response_preview": "Certainly! Below are the four numbered steps to plan your Python CLI tool that scans a Git repository for changed YAML files, validates them against a JSON schema, and exits with a non-zero status if any validation fails.\n\n1. **Initialize t", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "marker_hit_rate": 1.0, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:05:40Z", "cell_id": "pavilion:weeyuga:qwen2.5:3b", "model": "qwen2.5:3b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 14.325, "prompt_tokens": 75, "completion_tokens": 181, "tokens_per_second": 12.64, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 871, "response_preview": "- Ensure that `PasswordAuthentication` is set to `no` in `/etc/ssh/sshd_config`. This prevents SSH from accepting password authentication.\n- Verify that your public key is correctly added to the user's authorized keys file located at `~/.ss", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:06:01Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b", "model": "qwen2.5-coder:1.5b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 20.837, "prompt_tokens": 35, "completion_tokens": 11, "tokens_per_second": 0.53, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 38, "response_preview": "Of course! How may I assist you today?", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:06:11Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b", "model": "qwen2.5-coder:1.5b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 9.55, "prompt_tokens": 90, "completion_tokens": 243, "tokens_per_second": 25.45, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 861, "response_preview": "```bash\n#!/bin/bash\n\n# Check disk usage for /\ndf -P / | awk '{print $5}' | grep -E '[0-9]+' > /tmp/disk_usage.txt\n\n# Read the percentage from the file\npercentage=$(cat /tmp/disk_usage.txt)\n\n# Exit with status 1 if usage is above 85 percent\n", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:06:23Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b", "model": "qwen2.5-coder:1.5b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 12.454, "prompt_tokens": 74, "completion_tokens": 303, "tokens_per_second": 24.33, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1101, "response_preview": "```python\nimport pytest\n\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"\n Check if the provided string is a valid IPv4 address.\n \n Args:\n value (str): The string to check.\n \n Returns:\n bool: True if the string is a valid", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "marker_hit_rate": 1.0, "format_rule": "python_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:06:26Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b", "model": "qwen2.5-coder:1.5b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 2.926, "prompt_tokens": 58, "completion_tokens": 64, "tokens_per_second": 21.87, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 257, "response_preview": "```bash\n# Backup the original nginx configuration file\ncp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\n\n# Validate the nginx configuration\nnginx -t\n\n# Reload nginx if the configuration is valid\nif [ $? -eq 0 ]; then\n sudo systemctl re", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx"], "marker_hit_rate": 0.75, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:06:44Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b", "model": "qwen2.5-coder:1.5b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 18.124, "prompt_tokens": 62, "completion_tokens": 473, "tokens_per_second": 26.1, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 2139, "response_preview": "1. Install the required packages:\n```bash\npip install gitpython jsonschema\n```\n\n2. Create a new Python file named `validate_yaml.py`:\n\n3. Add the following code to the `validate_yaml.py` file:\n\n```python\nimport os\nimport json\nfrom git impor", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "marker_hit_rate": 1.0, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:06:55Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b", "model": "qwen2.5-coder:1.5b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 10.595, "prompt_tokens": 75, "completion_tokens": 271, "tokens_per_second": 25.58, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1086, "response_preview": "- **Check for Permissions**: Ensure that the `authorized_keys` file has the correct permissions (`600`) to restrict access.\n ```sh\n chmod 600 ~/.ssh/authorized_keys\n ```\n\n- **Review SSHD Configuration**: Verify that the `PasswordAuthenti", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:07:09Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b", "model": "qwen2.5-coder:0.5b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 13.774, "prompt_tokens": 35, "completion_tokens": 11, "tokens_per_second": 0.8, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 38, "response_preview": "Of course! How can I assist you today?", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:07:17Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b", "model": "qwen2.5-coder:0.5b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 8.292, "prompt_tokens": 90, "completion_tokens": 418, "tokens_per_second": 50.41, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1654, "response_preview": "Certainly! Below is a Bash script that checks disk usage for `/`, prints a human-readable warning if usage is above 85 percent, and exits with status 1 when usage is above 85 percent.\n\n```bash\n#!/bin/bash\n\n# Check if df -P / exists\nif ! com", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:07:27Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b", "model": "qwen2.5-coder:0.5b", "phase": "5q", "question_id": "ipv4_python_tests", "run_idx": 1, "duration_seconds": 10.239, "prompt_tokens": 74, "completion_tokens": 520, "tokens_per_second": 50.79, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1505, "response_preview": "```python\nimport re\n\ndef is_valid_ipv4(value: str) -> bool:\n \"\"\"\n Check if the provided string is a valid IPv4 address.\n \n Args:\n value (str): The string to check.\n \n Returns:\n bool: True if the string is a valid IPv", "required_markers": ["def is_valid_ipv4", "def test_", "assert", "split('.')"], "markers_hit": ["def is_valid_ipv4", "def test_", "assert"], "marker_hit_rate": 0.75, "format_rule": "python_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:07:30Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b", "model": "qwen2.5-coder:0.5b", "phase": "5q", "question_id": "nginx_safe_reload", "run_idx": 2, "duration_seconds": 3.174, "prompt_tokens": 58, "completion_tokens": 149, "tokens_per_second": 46.94, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 576, "response_preview": "```bash\n# Backup /etc/nginx/nginx.conf\nsudo cp -p /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak\n\n# Validate nginx config\nsudo nginx -t\n\n# Reload nginx only if validation passes\nif [ $? -eq 0 ]; then\n sudo systemctl reload nginx\nfi\n```\n", "required_markers": ["cp /etc/nginx/nginx.conf", "nginx -t", "systemctl reload nginx", "&&"], "markers_hit": ["nginx -t", "systemctl reload nginx"], "marker_hit_rate": 0.5, "format_rule": "shell_lines", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:07:42Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b", "model": "qwen2.5-coder:0.5b", "phase": "5q", "question_id": "yaml_cli_plan", "run_idx": 3, "duration_seconds": 12.01, "prompt_tokens": 62, "completion_tokens": 613, "tokens_per_second": 51.04, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 2834, "response_preview": "To create a Python CLI that scans a Git repository for changed YAML files, validates them against a JSON schema, and exits nonzero on failure, you can use the `git` command-line tool along with some Python libraries like `argparse`, `jsonsc", "required_markers": ["1.", "2.", "3.", "4.", "JSON schema", "git"], "markers_hit": ["1.", "2.", "3.", "JSON schema", "git"], "marker_hit_rate": 0.833, "format_rule": "four_numbered_steps", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-29T12:07:51Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b", "model": "qwen2.5-coder:0.5b", "phase": "5q", "question_id": "ssh_lockout_triage", "run_idx": 4, "duration_seconds": 8.951, "prompt_tokens": 75, "completion_tokens": 451, "tokens_per_second": 50.39, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 1588, "response_preview": "- **Hardening**: Ensure that your SSH server is secure by using strong passwords, enabling two-factor authentication, and updating software to the latest version.\n- **Safest First Checks**:\n - **Authorized Keys**: Verify that your public k", "required_markers": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "markers_hit": ["sshd_config", "authorized_keys", "journalctl", "rollback", "PasswordAuthentication"], "marker_hit_rate": 1.0, "format_rule": "five_bullets", "format_ok": true, "usable_answer": true, "error": null}
|
||||
{"type": "footer", "ts_utc": "2026-04-29T12:07:51Z", "finished_at_utc": "2026-04-29T12:07:51Z", "load_avg_end": [2.03857421875, 2.40966796875, 2.2978515625]}
|
||||
844
runs/ad28cb95-5134-40b5-8514-c8a381f83d87/metadata.json
Normal file
844
runs/ad28cb95-5134-40b5-8514-c8a381f83d87/metadata.json
Normal file
@@ -0,0 +1,844 @@
|
||||
{
|
||||
"id": "ad28cb95-5134-40b5-8514-c8a381f83d87",
|
||||
"title": "predator-a3b-ctx-sweep-1 \u2014 qwen3 on predator",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-a3b-ctx-sweep-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2m"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "45 calls across 3 cell(s); ~5.0 tok/s mean; p50 83.9s",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/ad28cb95-5134-40b5-8514-c8a381f83d87.jsonl",
|
||||
"log_path": "runs/ad28cb95-5134-40b5-8514-c8a381f83d87.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 82375.0,
|
||||
"duration_ms_p50": 69292.5,
|
||||
"tokens_per_sec_mean": 4.69,
|
||||
"tokens_per_sec_max": 4.95
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 79021.08,
|
||||
"duration_ms_p50": 83884.0,
|
||||
"tokens_per_sec_mean": 5.46,
|
||||
"tokens_per_sec_max": 5.83
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 88976.42,
|
||||
"duration_ms_p50": 97634.0,
|
||||
"tokens_per_sec_mean": 4.79,
|
||||
"tokens_per_sec_max": 5.12
|
||||
}
|
||||
],
|
||||
"n_calls_total": 45,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T23:48:01Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"ctx",
|
||||
"iq2",
|
||||
"predator",
|
||||
"qwen3",
|
||||
"sweep"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"n_calls": 15,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 82375.0,
|
||||
"duration_ms_p50": 69292.5,
|
||||
"tokens_per_sec_mean": 4.69,
|
||||
"tokens_per_sec_max": 4.95,
|
||||
"calls": [
|
||||
{
|
||||
"type": "vram_snapshot",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"raw": "5760, 270, 6144"
|
||||
},
|
||||
{
|
||||
"type": "ram_snapshot",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"raw": "19647,8978,28625"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 36 | pp256 | 25.13 \u00b1 10.22 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 36 | tg64 | 4.45 \u00b1 0.16 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 33949,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 129,
|
||||
"tokens_per_sec": 3.7998173731185014,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 510,
|
||||
"content_chars": 37,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 21340,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 102,
|
||||
"tokens_per_sec": 4.779756326148079,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 396,
|
||||
"content_chars": 37,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 28166,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 138,
|
||||
"tokens_per_sec": 4.899524249094653,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 482,
|
||||
"content_chars": 118,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 18169,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 90,
|
||||
"tokens_per_sec": 4.953492212009467,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 330,
|
||||
"content_chars": 37,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 69978,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 331,
|
||||
"tokens_per_sec": 4.730058018234303,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1148,
|
||||
"content_chars": 524,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 75274,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 357,
|
||||
"tokens_per_sec": 4.742673433057895,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1296,
|
||||
"content_chars": 439,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 68607,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 335,
|
||||
"tokens_per_sec": 4.8828836707624586,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1205,
|
||||
"content_chars": 455,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k",
|
||||
"model_key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768,
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 66738,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 313,
|
||||
"tokens_per_sec": 4.689981719560071,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1115,
|
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
"ngl": 6,
|
||||
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||||
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||||
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||||
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],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "ad28cb95-5134-40b5-8514-c8a381f83d87",
|
||||
"harness_version": "predator-a3b-ctx-sweep-1",
|
||||
"started_at_utc": "2026-05-04T23:48:01Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "predator",
|
||||
"engine": "llamacpp",
|
||||
"purpose": "Sloba 2026-05-05 follow-up: NGL=36 at ctx=32k + NGL=6 at ctx=65k/131k. 'i want you to run a benchmark on that with ngl 6 and high context benchmark. but dont go over 256 its pointless.' 256k ctx skipped \u2014 KV alone exceeds Predator's 28 GB RAM.",
|
||||
"cells": [
|
||||
{
|
||||
"key": "ngl36-ctx32k",
|
||||
"ngl": 36,
|
||||
"ctx": 32768
|
||||
},
|
||||
{
|
||||
"key": "ngl6-ctx64k",
|
||||
"ngl": 6,
|
||||
"ctx": 65536
|
||||
},
|
||||
{
|
||||
"key": "ngl6-ctx128k",
|
||||
"ngl": 6,
|
||||
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||||
}
|
||||
],
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||||
"gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf"
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
46
runs/ad28cb95-5134-40b5-8514-c8a381f83d87/run.jsonl
Normal file
46
runs/ad28cb95-5134-40b5-8514-c8a381f83d87/run.jsonl
Normal file
@@ -0,0 +1,46 @@
|
||||
{"type": "meta", "benchmark_run_id": "ad28cb95-5134-40b5-8514-c8a381f83d87", "harness_version": "predator-a3b-ctx-sweep-1", "started_at_utc": "2026-05-04T23:48:01Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "purpose": "Sloba 2026-05-05 follow-up: NGL=36 at ctx=32k + NGL=6 at ctx=65k/131k. 'i want you to run a benchmark on that with ngl 6 and high context benchmark. but dont go over 256 its pointless.' 256k ctx skipped \u2014 KV alone exceeds Predator's 28 GB RAM.", "cells": [{"key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768}, {"key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536}, {"key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072}], "gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf"}
|
||||
{"type": "vram_snapshot", "model_key": "ngl36-ctx32k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "ngl": 36, "ctx": 32768, "raw": "5760, 270, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl36-ctx32k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "ngl": 36, "ctx": 32768, "raw": "19647,8978,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl36-ctx32k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "ngl": 36, "ctx": 32768, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 36 | pp256 | 25.13 \u00b1 10.22 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 36 | tg64 | 4.45 \u00b1 0.16 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 33949, "prompt_tokens": 9, "completion_tokens": 129, "tokens_per_sec": 3.7998173731185014, "finish_reason": "stop", "reasoning_chars": 510, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 21340, "prompt_tokens": 9, "completion_tokens": 102, "tokens_per_sec": 4.779756326148079, "finish_reason": "stop", "reasoning_chars": 396, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 28166, "prompt_tokens": 9, "completion_tokens": 138, "tokens_per_sec": 4.899524249094653, "finish_reason": "stop", "reasoning_chars": 482, "content_chars": 118, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 18169, "prompt_tokens": 9, "completion_tokens": 90, "tokens_per_sec": 4.953492212009467, "finish_reason": "stop", "reasoning_chars": 330, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 69978, "prompt_tokens": 22, "completion_tokens": 331, "tokens_per_sec": 4.730058018234303, "finish_reason": "stop", "reasoning_chars": 1148, "content_chars": 524, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 75274, "prompt_tokens": 22, "completion_tokens": 357, "tokens_per_sec": 4.742673433057895, "finish_reason": "stop", "reasoning_chars": 1296, "content_chars": 439, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 68607, "prompt_tokens": 22, "completion_tokens": 335, "tokens_per_sec": 4.8828836707624586, "finish_reason": "stop", "reasoning_chars": 1205, "content_chars": 455, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 66738, "prompt_tokens": 22, "completion_tokens": 313, "tokens_per_sec": 4.689981719560071, "finish_reason": "stop", "reasoning_chars": 1115, "content_chars": 457, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 168509, "prompt_tokens": 30, "completion_tokens": 786, "tokens_per_sec": 4.664439288109241, "finish_reason": "stop", "reasoning_chars": 1882, "content_chars": 1598, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 173316, "prompt_tokens": 30, "completion_tokens": 805, "tokens_per_sec": 4.644695238754645, "finish_reason": "stop", "reasoning_chars": 2200, "content_chars": 1282, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 98869, "prompt_tokens": 30, "completion_tokens": 478, "tokens_per_sec": 4.834680233440209, "finish_reason": "stop", "reasoning_chars": 1091, "content_chars": 964, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl36-ctx32k", "model_key": "ngl36-ctx32k", "ngl": 36, "ctx": 32768, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 165585, "prompt_tokens": 30, "completion_tokens": 772, "tokens_per_sec": 4.662258054775493, "finish_reason": "stop", "reasoning_chars": 1739, "content_chars": 1618, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl6-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "ngl": 6, "ctx": 65536, "raw": "3122, 2908, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl6-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "ngl": 6, "ctx": 65536, "raw": "14153,14471,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl6-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "ngl": 6, "ctx": 65536, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | pp256 | 113.33 \u00b1 3.73 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | tg64 | 5.95 \u00b1 0.21 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 19560, "prompt_tokens": 9, "completion_tokens": 104, "tokens_per_sec": 5.316973415132924, "finish_reason": "stop", "reasoning_chars": 405, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 29294, "prompt_tokens": 9, "completion_tokens": 163, "tokens_per_sec": 5.564279374615962, "finish_reason": "stop", "reasoning_chars": 647, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 37869, "prompt_tokens": 9, "completion_tokens": 214, "tokens_per_sec": 5.651060233964457, "finish_reason": "stop", "reasoning_chars": 871, "content_chars": 40, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 17840, "prompt_tokens": 9, "completion_tokens": 104, "tokens_per_sec": 5.829596412556054, "finish_reason": "stop", "reasoning_chars": 393, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 95273, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 5.374030417851857, "finish_reason": "length", "reasoning_chars": 2078, "content_chars": 351, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 93889, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 5.453247984321912, "finish_reason": "length", "reasoning_chars": 0, "content_chars": 2444, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 77959, "prompt_tokens": 22, "completion_tokens": 435, "tokens_per_sec": 5.579856078194949, "finish_reason": "stop", "reasoning_chars": 1638, "content_chars": 495, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 53246, "prompt_tokens": 22, "completion_tokens": 297, "tokens_per_sec": 5.577883784697442, "finish_reason": "stop", "reasoning_chars": 1011, "content_chars": 422, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 89809, "prompt_tokens": 30, "completion_tokens": 467, "tokens_per_sec": 5.199924283757753, "finish_reason": "stop", "reasoning_chars": 920, "content_chars": 1089, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 145855, "prompt_tokens": 30, "completion_tokens": 778, "tokens_per_sec": 5.3340646532515175, "finish_reason": "stop", "reasoning_chars": 1655, "content_chars": 1642, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 148345, "prompt_tokens": 30, "completion_tokens": 778, "tokens_per_sec": 5.244531328996596, "finish_reason": "stop", "reasoning_chars": 1801, "content_chars": 1493, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx64k", "model_key": "ngl6-ctx64k", "ngl": 6, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 139314, "prompt_tokens": 30, "completion_tokens": 745, "tokens_per_sec": 5.347631968072125, "finish_reason": "stop", "reasoning_chars": 1252, "content_chars": 2032, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl6-ctx128k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "ngl": 6, "ctx": 131072, "raw": "4088, 1942, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl6-ctx128k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "ngl": 6, "ctx": 131072, "raw": "19751,8874,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl6-ctx128k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "ngl": 6, "ctx": 131072, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | pp256 | 111.46 \u00b1 2.92 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | tg64 | 4.93 \u00b1 0.36 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 22587, "prompt_tokens": 9, "completion_tokens": 101, "tokens_per_sec": 4.471598707220968, "finish_reason": "stop", "reasoning_chars": 365, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 42874, "prompt_tokens": 9, "completion_tokens": 210, "tokens_per_sec": 4.898073424453048, "finish_reason": "stop", "reasoning_chars": 803, "content_chars": 110, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 21410, "prompt_tokens": 9, "completion_tokens": 103, "tokens_per_sec": 4.810836057916862, "finish_reason": "stop", "reasoning_chars": 400, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 13397, "prompt_tokens": 9, "completion_tokens": 63, "tokens_per_sec": 4.702545345972979, "finish_reason": "stop", "reasoning_chars": 193, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 97143, "prompt_tokens": 22, "completion_tokens": 453, "tokens_per_sec": 4.66322843642877, "finish_reason": "stop", "reasoning_chars": 1783, "content_chars": 432, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 107841, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 4.747730455021745, "finish_reason": "length", "reasoning_chars": 2198, "content_chars": 179, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 95505, "prompt_tokens": 22, "completion_tokens": 452, "tokens_per_sec": 4.732736505942097, "finish_reason": "stop", "reasoning_chars": 1738, "content_chars": 465, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 104360, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 4.906094288999617, "finish_reason": "length", "reasoning_chars": 2425, "content_chars": 36, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 164579, "prompt_tokens": 30, "completion_tokens": 789, "tokens_per_sec": 4.794050273728725, "finish_reason": "stop", "reasoning_chars": 1572, "content_chars": 1795, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 161591, "prompt_tokens": 30, "completion_tokens": 767, "tokens_per_sec": 4.746551478733345, "finish_reason": "stop", "reasoning_chars": 1324, "content_chars": 2008, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 98125, "prompt_tokens": 30, "completion_tokens": 502, "tokens_per_sec": 5.115923566878981, "finish_reason": "stop", "reasoning_chars": 1177, "content_chars": 961, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl6-ctx128k", "model_key": "ngl6-ctx128k", "ngl": 6, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 138305, "prompt_tokens": 30, "completion_tokens": 672, "tokens_per_sec": 4.858826506633888, "finish_reason": "stop", "reasoning_chars": 1647, "content_chars": 1244, "error": null}
|
||||
65
runs/ad28cb95-5134-40b5-8514-c8a381f83d87/run.log
Normal file
65
runs/ad28cb95-5134-40b5-8514-c8a381f83d87/run.log
Normal file
@@ -0,0 +1,65 @@
|
||||
[23:47:58Z] === predator-a3b-ctx-sweep run_id=ad28cb95-5134-40b5-8514-c8a381f83d87 ===
|
||||
[23:47:58Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/ad28cb95-5134-40b5-8514-c8a381f83d87.jsonl
|
||||
[23:47:58Z] Plan: ngl=36/ctx=32k, ngl=6/ctx=64k, ngl=6/ctx=128k
|
||||
[23:47:58Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\ad28cb95-5134-40b5-8514-c8a381f83d87
|
||||
[23:48:01Z] >>> CELL: ngl36-ctx32k (NGL=36 ctx=32768)
|
||||
[23:48:01Z] Stopping llama-server on Predator...
|
||||
[23:48:05Z] Starting llama-server (key=ngl36-ctx32k, NGL=36, ctx=32768)...
|
||||
[23:48:08Z] Waiting for llama-server (key=ngl36-ctx32k, up to 15 min — large KV cache allocation)...
|
||||
[23:48:18Z] llama-server up after 9s
|
||||
[23:48:21Z] Running llama-bench for ngl36-ctx32k (NGL=36)...
|
||||
[23:52:06Z] Running prompts for ngl36-ctx32k (cold + 3 warm per prompt)...
|
||||
[23:52:06Z] prompt=hello cold
|
||||
[23:52:40Z] prompt=hello warm 1
|
||||
[23:53:02Z] prompt=hello warm 2
|
||||
[23:53:30Z] prompt=hello warm 3
|
||||
[23:53:49Z] prompt=P-MEDIUM cold
|
||||
[23:54:59Z] prompt=P-MEDIUM warm 1
|
||||
[23:56:14Z] prompt=P-MEDIUM warm 2
|
||||
[23:57:23Z] prompt=P-MEDIUM warm 3
|
||||
[23:58:30Z] prompt=P-HARD cold
|
||||
[00:01:18Z] prompt=P-HARD warm 1
|
||||
[00:04:12Z] prompt=P-HARD warm 2
|
||||
[00:05:51Z] prompt=P-HARD warm 3
|
||||
[00:08:36Z] >>> CELL: ngl6-ctx64k (NGL=6 ctx=65536)
|
||||
[00:08:36Z] Stopping llama-server on Predator...
|
||||
[00:08:41Z] Starting llama-server (key=ngl6-ctx64k, NGL=6, ctx=65536)...
|
||||
[00:08:43Z] Waiting for llama-server (key=ngl6-ctx64k, up to 15 min — large KV cache allocation)...
|
||||
[00:09:12Z] llama-server up after 24s
|
||||
[00:09:14Z] Running llama-bench for ngl6-ctx64k (NGL=6)...
|
||||
[00:10:31Z] Running prompts for ngl6-ctx64k (cold + 3 warm per prompt)...
|
||||
[00:10:31Z] prompt=hello cold
|
||||
[00:10:51Z] prompt=hello warm 1
|
||||
[00:11:20Z] prompt=hello warm 2
|
||||
[00:11:58Z] prompt=hello warm 3
|
||||
[00:12:16Z] prompt=P-MEDIUM cold
|
||||
[00:13:52Z] prompt=P-MEDIUM warm 1
|
||||
[00:15:25Z] prompt=P-MEDIUM warm 2
|
||||
[00:16:44Z] prompt=P-MEDIUM warm 3
|
||||
[00:17:37Z] prompt=P-HARD cold
|
||||
[00:19:07Z] prompt=P-HARD warm 1
|
||||
[00:21:33Z] prompt=P-HARD warm 2
|
||||
[00:24:01Z] prompt=P-HARD warm 3
|
||||
[00:26:21Z] >>> CELL: ngl6-ctx128k (NGL=6 ctx=131072)
|
||||
[00:26:21Z] Stopping llama-server on Predator...
|
||||
[00:26:25Z] Starting llama-server (key=ngl6-ctx128k, NGL=6, ctx=131072)...
|
||||
[00:26:28Z] Waiting for llama-server (key=ngl6-ctx128k, up to 15 min — large KV cache allocation)...
|
||||
[00:26:35Z] llama-server up after 7s
|
||||
[00:26:38Z] Running llama-bench for ngl6-ctx128k (NGL=6)...
|
||||
[00:28:04Z] Running prompts for ngl6-ctx128k (cold + 3 warm per prompt)...
|
||||
[00:28:04Z] prompt=hello cold
|
||||
[00:28:27Z] prompt=hello warm 1
|
||||
[00:29:10Z] prompt=hello warm 2
|
||||
[00:29:31Z] prompt=hello warm 3
|
||||
[00:29:45Z] prompt=P-MEDIUM cold
|
||||
[00:31:22Z] prompt=P-MEDIUM warm 1
|
||||
[00:33:10Z] prompt=P-MEDIUM warm 2
|
||||
[00:34:46Z] prompt=P-MEDIUM warm 3
|
||||
[00:36:30Z] prompt=P-HARD cold
|
||||
[00:39:15Z] prompt=P-HARD warm 1
|
||||
[00:41:56Z] prompt=P-HARD warm 2
|
||||
[00:43:35Z] prompt=P-HARD warm 3
|
||||
[00:45:53Z] Stopping llama-server on Predator...
|
||||
[00:45:58Z] === bench complete ===
|
||||
[00:45:58Z] Mirroring run-dir to Predator...
|
||||
[00:46:03Z] On-device mirror: predator:D:\WeeyugaBench\runs\ad28cb95-5134-40b5-8514-c8a381f83d87\
|
||||
770
runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07/metadata.json
Normal file
770
runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07/metadata.json
Normal file
@@ -0,0 +1,770 @@
|
||||
{
|
||||
"id": "b37836bf-d1a2-4d6b-a732-aff89da1fa07",
|
||||
"title": "predator-a3b-ngl-matrix-1 \u2014 qwen3 on predator",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-a3b-ngl-matrix-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2m"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "42 calls across 3 cell(s); ~5.7 tok/s mean; p50 71.5s",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07.jsonl",
|
||||
"log_path": "runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07.log",
|
||||
"synthesis_doc": "A3B_NGL_RETUNE_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 85436.42,
|
||||
"duration_ms_p50": 92483.0,
|
||||
"tokens_per_sec_mean": 4.95,
|
||||
"tokens_per_sec_max": 5.15
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 75013.58,
|
||||
"duration_ms_p50": 81347.0,
|
||||
"tokens_per_sec_mean": 5.59,
|
||||
"tokens_per_sec_max": 6.63
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 62607.33,
|
||||
"duration_ms_p50": 67049.0,
|
||||
"tokens_per_sec_mean": 6.58,
|
||||
"tokens_per_sec_max": 6.89
|
||||
}
|
||||
],
|
||||
"n_calls_total": 42,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T22:50:47Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"matrix",
|
||||
"ngl",
|
||||
"predator",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
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|
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"started_at_utc": "2026-05-04T22:50:47Z",
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"host": "Slobodans-MacBook-Air.local",
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|
||||
"ngl_values": [
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||||
6,
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||||
12,
|
||||
24
|
||||
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|
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"gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf",
|
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"sampling": "T=0.6 top_p=0.95 top_k=20 (Qwen3-A3B README defaults)",
|
||||
"common_args": "--ctx-size 32768 --temp 0.6 --top-p 0.95 --top-k 20 --min-p 0.0 --reasoning-budget 500 --reasoning-format deepseek --jinja --no-warmup --host 0.0.0.0 --port 11436"
|
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}
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43
runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07/run.jsonl
Normal file
43
runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07/run.jsonl
Normal file
@@ -0,0 +1,43 @@
|
||||
{"type": "meta", "benchmark_run_id": "b37836bf-d1a2-4d6b-a732-aff89da1fa07", "harness_version": "predator-a3b-ngl-matrix-1", "started_at_utc": "2026-05-04T22:50:47Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "purpose": "Sloba 2026-05-05: NGL retune (6/12/24) + 32k ctx for Qwen3-30B-A3B IQ2_M; pinpoint the offload-config sweet spot suspected after the 5fb2913d run showed Pavilion's --n-gpu-layers=12 beating Predator's --n-gpu-layers=99", "ngl_values": [6, 12, 24], "ctx_size": 32768, "reasoning_budget": 500, "gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf", "sampling": "T=0.6 top_p=0.95 top_k=20 (Qwen3-A3B README defaults)", "common_args": "--ctx-size 32768 --temp 0.6 --top-p 0.95 --top-k 20 --min-p 0.0 --reasoning-budget 500 --reasoning-format deepseek --jinja --no-warmup --host 0.0.0.0 --port 11436"}
|
||||
{"type": "vram_snapshot", "model_key": "ngl6", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "ngl": 6, "raw": "2984, 3046, 6144"}
|
||||
{"type": "llama_bench", "model_key": "ngl6", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "ngl": 6, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | pp256 | 110.34 \u00b1 3.41 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 6 | tg64 | 5.23 \u00b1 0.67 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 23904, "prompt_tokens": 9, "completion_tokens": 114, "tokens_per_sec": 4.769076305220883, "finish_reason": "stop", "reasoning_chars": 433, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 19868, "prompt_tokens": 9, "completion_tokens": 94, "tokens_per_sec": 4.731226092208577, "finish_reason": "stop", "reasoning_chars": 349, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 22272, "prompt_tokens": 9, "completion_tokens": 105, "tokens_per_sec": 4.714439655172414, "finish_reason": "stop", "reasoning_chars": 394, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 32650, "prompt_tokens": 9, "completion_tokens": 168, "tokens_per_sec": 5.145482388973966, "finish_reason": "stop", "reasoning_chars": 656, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 108039, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 4.73902942455965, "finish_reason": "length", "reasoning_chars": 2049, "content_chars": 513, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 71270, "prompt_tokens": 22, "completion_tokens": 350, "tokens_per_sec": 4.910902202890417, "finish_reason": "stop", "reasoning_chars": 1313, "content_chars": 403, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 92416, "prompt_tokens": 22, "completion_tokens": 449, "tokens_per_sec": 4.858466066481995, "finish_reason": "stop", "reasoning_chars": 1718, "content_chars": 477, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 100578, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 5.0905764680148735, "finish_reason": "length", "reasoning_chars": 2008, "content_chars": 541, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 155414, "prompt_tokens": 30, "completion_tokens": 786, "tokens_per_sec": 5.057459430939298, "finish_reason": "stop", "reasoning_chars": 1713, "content_chars": 1659, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 92550, "prompt_tokens": 30, "completion_tokens": 476, "tokens_per_sec": 5.143165856293895, "finish_reason": "stop", "reasoning_chars": 1080, "content_chars": 1010, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 153066, "prompt_tokens": 30, "completion_tokens": 784, "tokens_per_sec": 5.121973527759267, "finish_reason": "stop", "reasoning_chars": 2134, "content_chars": 1183, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl6", "model_key": "ngl6", "ngl": 6, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 153210, "prompt_tokens": 30, "completion_tokens": 789, "tokens_per_sec": 5.149794399843352, "finish_reason": "stop", "reasoning_chars": 1316, "content_chars": 1947, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl12", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "ngl": 12, "raw": "4708, 1322, 6144"}
|
||||
{"type": "llama_bench", "model_key": "ngl12", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "ngl": 12, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | pp256 | 121.86 \u00b1 3.89 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | tg64 | 6.37 \u00b1 0.63 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 41903, "prompt_tokens": 9, "completion_tokens": 228, "tokens_per_sec": 5.4411378660239125, "finish_reason": "stop", "reasoning_chars": 849, "content_chars": 134, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 10852, "prompt_tokens": 9, "completion_tokens": 72, "tokens_per_sec": 6.634721710283818, "finish_reason": "stop", "reasoning_chars": 251, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 9407, "prompt_tokens": 9, "completion_tokens": 62, "tokens_per_sec": 6.590836611034336, "finish_reason": "stop", "reasoning_chars": 186, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 18374, "prompt_tokens": 9, "completion_tokens": 109, "tokens_per_sec": 5.932295635136606, "finish_reason": "stop", "reasoning_chars": 446, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 64718, "prompt_tokens": 22, "completion_tokens": 367, "tokens_per_sec": 5.67075620383819, "finish_reason": "stop", "reasoning_chars": 1297, "content_chars": 506, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 96029, "prompt_tokens": 22, "completion_tokens": 512, "tokens_per_sec": 5.331722708765061, "finish_reason": "length", "reasoning_chars": 2166, "content_chars": 209, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 93926, "prompt_tokens": 22, "completion_tokens": 467, "tokens_per_sec": 4.971999233439091, "finish_reason": "stop", "reasoning_chars": 1889, "content_chars": 433, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 70212, "prompt_tokens": 22, "completion_tokens": 371, "tokens_per_sec": 5.28399703754344, "finish_reason": "stop", "reasoning_chars": 1342, "content_chars": 491, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 149004, "prompt_tokens": 30, "completion_tokens": 774, "tokens_per_sec": 5.194491423049046, "finish_reason": "stop", "reasoning_chars": 1519, "content_chars": 1719, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 92482, "prompt_tokens": 30, "completion_tokens": 492, "tokens_per_sec": 5.319954153240631, "finish_reason": "stop", "reasoning_chars": 1005, "content_chars": 1067, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 108851, "prompt_tokens": 30, "completion_tokens": 575, "tokens_per_sec": 5.282450321999798, "finish_reason": "stop", "reasoning_chars": 1368, "content_chars": 1007, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl12", "model_key": "ngl12", "ngl": 12, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 144405, "prompt_tokens": 30, "completion_tokens": 778, "tokens_per_sec": 5.387625082233995, "finish_reason": "stop", "reasoning_chars": 1233, "content_chars": 2214, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl24", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "ngl": 24, "raw": "5883, 147, 6144"}
|
||||
{"type": "llama_bench", "model_key": "ngl24", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "ngl": 24, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | pp256 | 47.42 \u00b1 1.07 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | tg64 | 6.42 \u00b1 0.02 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 11689, "prompt_tokens": 9, "completion_tokens": 67, "tokens_per_sec": 5.731884677902301, "finish_reason": "stop", "reasoning_chars": 225, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 14951, "prompt_tokens": 9, "completion_tokens": 103, "tokens_per_sec": 6.889171292890108, "finish_reason": "stop", "reasoning_chars": 376, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 10336, "prompt_tokens": 9, "completion_tokens": 71, "tokens_per_sec": 6.8691950464396285, "finish_reason": "stop", "reasoning_chars": 235, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 13118, "prompt_tokens": 9, "completion_tokens": 90, "tokens_per_sec": 6.860801951517, "finish_reason": "stop", "reasoning_chars": 330, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 67078, "prompt_tokens": 22, "completion_tokens": 441, "tokens_per_sec": 6.57443573153642, "finish_reason": "stop", "reasoning_chars": 1696, "content_chars": 448, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 59196, "prompt_tokens": 22, "completion_tokens": 396, "tokens_per_sec": 6.689641191972431, "finish_reason": "stop", "reasoning_chars": 1408, "content_chars": 491, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 71641, "prompt_tokens": 22, "completion_tokens": 479, "tokens_per_sec": 6.6861154925252295, "finish_reason": "stop", "reasoning_chars": 1758, "content_chars": 560, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 67020, "prompt_tokens": 22, "completion_tokens": 450, "tokens_per_sec": 6.714413607878246, "finish_reason": "stop", "reasoning_chars": 1772, "content_chars": 425, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 119263, "prompt_tokens": 30, "completion_tokens": 763, "tokens_per_sec": 6.397625416097196, "finish_reason": "stop", "reasoning_chars": 1316, "content_chars": 2068, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 72039, "prompt_tokens": 30, "completion_tokens": 481, "tokens_per_sec": 6.676938880328711, "finish_reason": "stop", "reasoning_chars": 1157, "content_chars": 874, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 117297, "prompt_tokens": 30, "completion_tokens": 758, "tokens_per_sec": 6.462228360486628, "finish_reason": "stop", "reasoning_chars": 1426, "content_chars": 1729, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ctx32k-ngl24", "model_key": "ngl24", "ngl": 24, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 127660, "prompt_tokens": 30, "completion_tokens": 820, "tokens_per_sec": 6.423311922293593, "finish_reason": "stop", "reasoning_chars": 1441, "content_chars": 2092, "error": null}
|
||||
66
runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07/run.log
Normal file
66
runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07/run.log
Normal file
@@ -0,0 +1,66 @@
|
||||
[22:50:44Z] === predator-a3b-ngl-matrix run_id=b37836bf-d1a2-4d6b-a732-aff89da1fa07 ===
|
||||
[22:50:44Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/b37836bf-d1a2-4d6b-a732-aff89da1fa07.jsonl
|
||||
[22:50:44Z] Mirror: predator:D:\WeeyugaBench\runs\b37836bf-d1a2-4d6b-a732-aff89da1fa07\
|
||||
[22:50:44Z] Plan: NGL=6 12 24 on ctx=32768
|
||||
[22:50:44Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\b37836bf-d1a2-4d6b-a732-aff89da1fa07
|
||||
[22:50:47Z] >>> CELL: NGL=6
|
||||
[22:50:47Z] Stopping llama-server on Predator...
|
||||
[22:50:51Z] Starting llama-server with Qwen3-30B-A3B-UD-IQ2_M.gguf, NGL=6, ctx=32768...
|
||||
[22:50:54Z] Waiting for llama-server (NGL=6, up to 12 min — 32k KV cache + 30B mmap takes a while)...
|
||||
[22:51:28Z] llama-server up after 25s
|
||||
[22:51:29Z] Running llama-bench for ngl6...
|
||||
[22:52:52Z] Running prompts for NGL=6 (cold + 3 warm per prompt)...
|
||||
[22:52:52Z] prompt=hello cold
|
||||
[22:53:16Z] prompt=hello warm 1
|
||||
[22:53:36Z] prompt=hello warm 2
|
||||
[22:53:58Z] prompt=hello warm 3
|
||||
[22:54:31Z] prompt=P-MEDIUM cold
|
||||
[22:56:19Z] prompt=P-MEDIUM warm 1
|
||||
[22:57:31Z] prompt=P-MEDIUM warm 2
|
||||
[22:59:03Z] prompt=P-MEDIUM warm 3
|
||||
[23:00:44Z] prompt=P-HARD cold
|
||||
[23:03:19Z] prompt=P-HARD warm 1
|
||||
[23:04:52Z] prompt=P-HARD warm 2
|
||||
[23:07:25Z] prompt=P-HARD warm 3
|
||||
[23:09:58Z] >>> CELL: NGL=12
|
||||
[23:09:58Z] Stopping llama-server on Predator...
|
||||
[23:10:03Z] Starting llama-server with Qwen3-30B-A3B-UD-IQ2_M.gguf, NGL=12, ctx=32768...
|
||||
[23:10:06Z] Waiting for llama-server (NGL=12, up to 12 min — 32k KV cache + 30B mmap takes a while)...
|
||||
[23:10:13Z] llama-server up after 6s
|
||||
[23:10:14Z] Running llama-bench for ngl12...
|
||||
[23:11:25Z] Running prompts for NGL=12 (cold + 3 warm per prompt)...
|
||||
[23:11:25Z] prompt=hello cold
|
||||
[23:12:07Z] prompt=hello warm 1
|
||||
[23:12:18Z] prompt=hello warm 2
|
||||
[23:12:27Z] prompt=hello warm 3
|
||||
[23:12:46Z] prompt=P-MEDIUM cold
|
||||
[23:13:51Z] prompt=P-MEDIUM warm 1
|
||||
[23:15:27Z] prompt=P-MEDIUM warm 2
|
||||
[23:17:01Z] prompt=P-MEDIUM warm 3
|
||||
[23:18:11Z] prompt=P-HARD cold
|
||||
[23:20:40Z] prompt=P-HARD warm 1
|
||||
[23:22:13Z] prompt=P-HARD warm 2
|
||||
[23:24:02Z] prompt=P-HARD warm 3
|
||||
[23:26:26Z] >>> CELL: NGL=24
|
||||
[23:26:26Z] Stopping llama-server on Predator...
|
||||
[23:26:31Z] Starting llama-server with Qwen3-30B-A3B-UD-IQ2_M.gguf, NGL=24, ctx=32768...
|
||||
[23:26:34Z] Waiting for llama-server (NGL=24, up to 12 min — 32k KV cache + 30B mmap takes a while)...
|
||||
[23:26:44Z] llama-server up after 9s
|
||||
[23:26:45Z] Running llama-bench for ngl24...
|
||||
[23:28:17Z] Running prompts for NGL=24 (cold + 3 warm per prompt)...
|
||||
[23:28:17Z] prompt=hello cold
|
||||
[23:28:28Z] prompt=hello warm 1
|
||||
[23:28:44Z] prompt=hello warm 2
|
||||
[23:28:54Z] prompt=hello warm 3
|
||||
[23:29:07Z] prompt=P-MEDIUM cold
|
||||
[23:30:14Z] prompt=P-MEDIUM warm 1
|
||||
[23:31:14Z] prompt=P-MEDIUM warm 2
|
||||
[23:32:25Z] prompt=P-MEDIUM warm 3
|
||||
[23:33:33Z] prompt=P-HARD cold
|
||||
[23:35:32Z] prompt=P-HARD warm 1
|
||||
[23:36:44Z] prompt=P-HARD warm 2
|
||||
[23:38:41Z] prompt=P-HARD warm 3
|
||||
[23:40:49Z] Stopping llama-server on Predator...
|
||||
[23:40:53Z] === bench complete ===
|
||||
[23:40:53Z] Mirroring run-dir to Predator...
|
||||
[23:41:01Z] On-device mirror at predator:D:\WeeyugaBench\runs\b37836bf-d1a2-4d6b-a732-aff89da1fa07\
|
||||
67
runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/metadata.json
Normal file
67
runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/metadata.json
Normal file
@@ -0,0 +1,67 @@
|
||||
{
|
||||
"id": "b54c61c0-b6b8-44ac-bc3e-a515df0f0499",
|
||||
"title": "vps50-gemma-e4b-1 \u2014 gemma on vps50",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"harness": "vps50-gemma-e4b-1",
|
||||
"model_family": "gemma",
|
||||
"model_sizes": [
|
||||
"gemma-4-e4b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "no calls landed",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499.jsonl",
|
||||
"log_path": "runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-e4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T23:53:09Z",
|
||||
"tags": [
|
||||
"gemma",
|
||||
"vps50"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-e4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "b54c61c0-b6b8-44ac-bc3e-a515df0f0499",
|
||||
"harness_version": "vps50-gemma-e4b-1",
|
||||
"started_at_utc": "2026-05-04T23:53:09Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://81.17.99.14:11436",
|
||||
"purpose": "Sloba 2026-05-05: 'i want the same gemma 4 we have on predator on vps50 so we can compare them'. Direct CPU-vs-GPU comparison vs Predator trio bench 09d8fbde where gemma-4-E4B-it Q4_K_M scored 22.9 t/s warm P-MEDIUM / 23.5 P-HARD on GTX 1060.",
|
||||
"models": [
|
||||
"gemma-4-e4b"
|
||||
],
|
||||
"ngl": 0,
|
||||
"ctx": 32768
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
1
runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/run.jsonl
Normal file
1
runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/run.jsonl
Normal file
@@ -0,0 +1 @@
|
||||
{"type": "meta", "benchmark_run_id": "b54c61c0-b6b8-44ac-bc3e-a515df0f0499", "harness_version": "vps50-gemma-e4b-1", "started_at_utc": "2026-05-04T23:53:09Z", "host": "Slobodans-MacBook-Air.local", "node": "vps50", "engine": "llamacpp", "predator_target_url": "http://81.17.99.14:11436", "purpose": "Sloba 2026-05-05: 'i want the same gemma 4 we have on predator on vps50 so we can compare them'. Direct CPU-vs-GPU comparison vs Predator trio bench 09d8fbde where gemma-4-E4B-it Q4_K_M scored 22.9 t/s warm P-MEDIUM / 23.5 P-HARD on GTX 1060.", "models": ["gemma-4-e4b"], "ngl": 0, "ctx": 32768}
|
||||
297
runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/run.log
Normal file
297
runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499/run.log
Normal file
@@ -0,0 +1,297 @@
|
||||
[23:53:01Z] === vps50-gemma-e4b run_id=b54c61c0-b6b8-44ac-bc3e-a515df0f0499 ===
|
||||
[23:53:01Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/b54c61c0-b6b8-44ac-bc3e-a515df0f0499.jsonl
|
||||
[23:53:09Z] Polling for gemma-4-E4B-it-Q4_K_M.gguf on VPS50 + waiting for port 11436 to be free...
|
||||
[23:53:18Z] poll 1/720: gguf=0.61 GB, llama-server=busy
|
||||
[23:53:57Z] poll 2/720: gguf=0.77 GB, llama-server=busy
|
||||
[23:54:36Z] poll 3/720: gguf=0.90 GB, llama-server=busy
|
||||
[23:55:16Z] poll 4/720: gguf=1.21 GB, llama-server=busy
|
||||
[23:56:00Z] poll 5/720: gguf=1.48 GB, llama-server=busy
|
||||
[23:56:39Z] poll 6/720: gguf=1.67 GB, llama-server=busy
|
||||
[23:57:19Z] poll 7/720: gguf=1.95 GB, llama-server=busy
|
||||
[23:57:58Z] poll 8/720: gguf=2.26 GB, llama-server=busy
|
||||
[23:58:35Z] poll 9/720: gguf=2.61 GB, llama-server=busy
|
||||
[23:59:15Z] poll 10/720: gguf=3.08 GB, llama-server=busy
|
||||
[23:59:54Z] poll 11/720: gguf=3.56 GB, llama-server=busy
|
||||
[00:00:40Z] poll 12/720: gguf=3.84 GB, llama-server=busy
|
||||
[00:01:23Z] poll 13/720: gguf=4.19 GB, llama-server=busy
|
||||
[00:02:05Z] poll 14/720: gguf=4.42 GB, llama-server=busy
|
||||
[00:02:43Z] poll 15/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:03:23Z] poll 16/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:04:08Z] poll 17/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:04:46Z] poll 18/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:05:34Z] poll 19/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:06:12Z] poll 20/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:06:53Z] poll 21/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:07:31Z] poll 22/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:08:16Z] poll 23/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:08:52Z] poll 24/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:09:36Z] poll 25/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:10:16Z] poll 26/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:11:01Z] poll 27/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:11:39Z] poll 28/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:12:19Z] poll 29/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:12:56Z] poll 30/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:13:37Z] poll 31/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:14:15Z] poll 32/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:14:59Z] poll 33/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:15:35Z] poll 34/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:16:18Z] poll 35/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:16:54Z] poll 36/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:17:38Z] poll 37/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:18:18Z] poll 38/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:19:03Z] poll 39/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:19:38Z] poll 40/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:20:17Z] poll 41/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:20:53Z] poll 42/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:21:32Z] poll 43/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:22:08Z] poll 44/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:22:45Z] poll 45/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:23:20Z] poll 46/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:23:59Z] poll 47/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:24:38Z] poll 48/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:25:18Z] poll 49/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:25:52Z] poll 50/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:26:28Z] poll 51/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:27:04Z] poll 52/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:27:40Z] poll 53/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:28:17Z] poll 54/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:28:58Z] poll 55/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:29:33Z] poll 56/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:30:12Z] poll 57/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:30:49Z] poll 58/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:31:24Z] poll 59/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:32:00Z] poll 60/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:32:35Z] poll 61/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:33:12Z] poll 62/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:33:49Z] poll 63/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:34:23Z] poll 64/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:34:58Z] poll 65/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:35:38Z] poll 66/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:36:20Z] poll 67/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:36:58Z] poll 68/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:37:33Z] poll 69/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:38:06Z] poll 70/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:38:42Z] poll 71/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:39:17Z] poll 72/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:39:52Z] poll 73/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:40:26Z] poll 74/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:41:04Z] poll 75/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:41:38Z] poll 76/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:42:13Z] poll 77/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:42:47Z] poll 78/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:43:25Z] poll 79/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:43:58Z] poll 80/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:44:33Z] poll 81/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:45:09Z] poll 82/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:45:44Z] poll 83/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:46:20Z] poll 84/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:46:55Z] poll 85/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:47:29Z] poll 86/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:48:04Z] poll 87/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:48:37Z] poll 88/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:49:10Z] poll 89/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:49:46Z] poll 90/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:50:23Z] poll 91/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:50:55Z] poll 92/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:51:34Z] poll 93/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:52:09Z] poll 94/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:52:46Z] poll 95/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:53:19Z] poll 96/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:53:54Z] poll 97/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:54:30Z] poll 98/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:55:09Z] poll 99/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:55:43Z] poll 100/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:56:20Z] poll 101/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:56:53Z] poll 102/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:57:26Z] poll 103/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:58:00Z] poll 104/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:58:35Z] poll 105/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:59:09Z] poll 106/720: gguf=4.64 GB, llama-server=busy
|
||||
[00:59:45Z] poll 107/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:00:19Z] poll 108/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:00:55Z] poll 109/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:01:28Z] poll 110/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:02:02Z] poll 111/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:02:37Z] poll 112/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:03:12Z] poll 113/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:03:47Z] poll 114/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:04:21Z] poll 115/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:04:55Z] poll 116/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:05:31Z] poll 117/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:06:05Z] poll 118/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:06:41Z] poll 119/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:07:15Z] poll 120/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:07:50Z] poll 121/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:08:24Z] poll 122/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:08:59Z] poll 123/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:09:34Z] poll 124/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:10:12Z] poll 125/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:10:46Z] poll 126/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:11:22Z] poll 127/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:11:56Z] poll 128/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:12:32Z] poll 129/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:13:05Z] poll 130/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:13:41Z] poll 131/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:14:37Z] poll 132/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:15:11Z] poll 133/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:15:48Z] poll 134/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:16:22Z] poll 135/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:16:59Z] poll 136/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:17:54Z] poll 137/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:18:31Z] poll 138/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:19:08Z] poll 139/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:19:42Z] poll 140/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:20:19Z] poll 141/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:20:54Z] poll 142/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:21:33Z] poll 143/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:22:09Z] poll 144/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:22:46Z] poll 145/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:23:21Z] poll 146/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:23:59Z] poll 147/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:24:37Z] poll 148/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:25:25Z] poll 149/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:26:03Z] poll 150/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:26:42Z] poll 151/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:27:19Z] poll 152/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:27:59Z] poll 153/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:28:35Z] poll 154/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:29:12Z] poll 155/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:29:47Z] poll 156/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:30:23Z] poll 157/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:30:59Z] poll 158/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:31:34Z] poll 159/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:32:13Z] poll 160/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:32:49Z] poll 161/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:33:24Z] poll 162/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:34:03Z] poll 163/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:34:38Z] poll 164/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:35:13Z] poll 165/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:35:47Z] poll 166/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:36:25Z] poll 167/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:36:58Z] poll 168/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:37:32Z] poll 169/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:38:07Z] poll 170/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:38:41Z] poll 171/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:39:14Z] poll 172/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:39:49Z] poll 173/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:40:23Z] poll 174/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:40:58Z] poll 175/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:41:32Z] poll 176/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:42:09Z] poll 177/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:42:44Z] poll 178/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:43:20Z] poll 179/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:43:53Z] poll 180/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:44:30Z] poll 181/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:45:06Z] poll 182/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:45:42Z] poll 183/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:46:16Z] poll 184/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:46:53Z] poll 185/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:47:26Z] poll 186/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:48:01Z] poll 187/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:48:35Z] poll 188/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:49:09Z] poll 189/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:49:43Z] poll 190/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:50:20Z] poll 191/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:50:54Z] poll 192/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:51:30Z] poll 193/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:52:04Z] poll 194/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:52:39Z] poll 195/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:53:13Z] poll 196/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:53:47Z] poll 197/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:54:21Z] poll 198/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:54:57Z] poll 199/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:55:31Z] poll 200/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:56:06Z] poll 201/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:56:40Z] poll 202/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:57:13Z] poll 203/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:57:48Z] poll 204/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:58:22Z] poll 205/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:58:55Z] poll 206/720: gguf=4.64 GB, llama-server=busy
|
||||
[01:59:30Z] poll 207/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:00:05Z] poll 208/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:00:42Z] poll 209/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:01:17Z] poll 210/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:01:56Z] poll 211/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:02:34Z] poll 212/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:03:11Z] poll 213/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:03:48Z] poll 214/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:04:25Z] poll 215/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:05:02Z] poll 216/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:05:38Z] poll 217/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:06:15Z] poll 218/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:06:49Z] poll 219/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:07:24Z] poll 220/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:07:58Z] poll 221/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:08:33Z] poll 222/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:09:09Z] poll 223/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:09:44Z] poll 224/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:10:21Z] poll 225/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:10:55Z] poll 226/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:11:47Z] poll 227/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:12:23Z] poll 228/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:13:01Z] poll 229/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:13:35Z] poll 230/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:14:29Z] poll 231/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:15:09Z] poll 232/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:15:51Z] poll 233/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:16:25Z] poll 234/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:17:41Z] poll 235/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:18:21Z] poll 236/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:19:05Z] poll 237/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:20:00Z] poll 238/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:20:41Z] poll 239/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:21:52Z] poll 240/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:22:35Z] poll 241/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:23:16Z] poll 242/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:23:50Z] poll 243/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:24:27Z] poll 244/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:25:00Z] poll 245/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:25:34Z] poll 246/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:26:11Z] poll 247/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:26:45Z] poll 248/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:27:20Z] poll 249/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:27:55Z] poll 250/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:28:31Z] poll 251/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:29:08Z] poll 252/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:29:43Z] poll 253/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:30:20Z] poll 254/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:30:54Z] poll 255/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:31:30Z] poll 256/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:32:04Z] poll 257/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:32:40Z] poll 258/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:33:15Z] poll 259/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:33:50Z] poll 260/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:34:23Z] poll 261/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:34:59Z] poll 262/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:35:32Z] poll 263/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:36:07Z] poll 264/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:36:42Z] poll 265/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:37:20Z] poll 266/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:37:56Z] poll 267/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:38:30Z] poll 268/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:39:05Z] poll 269/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:39:40Z] poll 270/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:40:14Z] poll 271/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:40:49Z] poll 272/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:41:25Z] poll 273/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:42:02Z] poll 274/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:42:36Z] poll 275/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:43:12Z] poll 276/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:43:48Z] poll 277/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:44:23Z] poll 278/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:44:57Z] poll 279/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:45:35Z] poll 280/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:46:11Z] poll 281/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:46:47Z] poll 282/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:47:19Z] poll 283/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:47:57Z] poll 284/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:48:33Z] poll 285/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:49:13Z] poll 286/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:49:48Z] poll 287/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:50:26Z] poll 288/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:51:03Z] poll 289/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:51:41Z] poll 290/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:52:16Z] poll 291/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:52:50Z] poll 292/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:53:25Z] poll 293/720: gguf=4.64 GB, llama-server=busy
|
||||
[02:54:01Z] poll 294/720: gguf=4.64 GB, llama-server=busy
|
||||
235
runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f/metadata.json
Normal file
235
runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f/metadata.json
Normal file
@@ -0,0 +1,235 @@
|
||||
{
|
||||
"id": "cef4b219-6b65-4740-8c3b-5b68aa10cf3f",
|
||||
"title": "vps50-cpu-matrix-1 \u2014 gemma/phi-4/qwen2.5/qwen3 on vps50",
|
||||
"date": "2026-05-05",
|
||||
"hardware": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"harness": "vps50-cpu-matrix-1",
|
||||
"model_family": "gemma/phi-4/qwen2.5/qwen3",
|
||||
"model_sizes": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "6 calls across 5 cell(s); ~0.0 tok/s mean; p50 527.8s",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f.jsonl",
|
||||
"log_path": "runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"n_calls": 6,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 548939.5,
|
||||
"duration_ms_p50": 527802.5,
|
||||
"tokens_per_sec_mean": 0.02,
|
||||
"tokens_per_sec_max": 0.02
|
||||
}
|
||||
],
|
||||
"n_calls_total": 6,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-05T07:00:10Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"cpu",
|
||||
"gemma",
|
||||
"matrix",
|
||||
"qwen2.5",
|
||||
"qwen3",
|
||||
"vps50"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:gemma-4-26b-a4b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen3-30b-a3b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:qwen2.5-72b",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
},
|
||||
{
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"n_calls": 6,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 548939.5,
|
||||
"duration_ms_p50": 527802.5,
|
||||
"tokens_per_sec_mean": 0.02,
|
||||
"tokens_per_sec_max": 0.02,
|
||||
"calls": [
|
||||
{
|
||||
"type": "ram_snapshot",
|
||||
"model_key": "phi-4",
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"raw": "total used free shared buff/cache available\nMem: 64301 16874 39162 37 9153 47426\nSwap: 0 0 0"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "phi-4",
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"raw": "| model | size | params | backend | threads | test | t/s |\n| ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: |\n| llama 13B Q4_K - Medium | 8.28 GiB | 14.66 B | CPU | 16 | pp256 | 0.89 \u00b1 0.13 |"
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"model_key": "phi-4",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 540002,
|
||||
"prompt_tokens": 8,
|
||||
"completion_tokens": 10,
|
||||
"tokens_per_sec": 0.01851844993166692,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 0,
|
||||
"content_chars": 34,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"model_key": "phi-4",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 628077,
|
||||
"prompt_tokens": 8,
|
||||
"completion_tokens": 10,
|
||||
"tokens_per_sec": 0.015921614706477072,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 0,
|
||||
"content_chars": 34,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"model_key": "phi-4",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 512076,
|
||||
"prompt_tokens": 8,
|
||||
"completion_tokens": 10,
|
||||
"tokens_per_sec": 0.01952835126035979,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 0,
|
||||
"content_chars": 34,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k",
|
||||
"model_key": "phi-4",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 515603,
|
||||
"prompt_tokens": 8,
|
||||
"completion_tokens": 10,
|
||||
"tokens_per_sec": 0.019394766903993967,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 0,
|
||||
"content_chars": 34,
|
||||
"error": null
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "cef4b219-6b65-4740-8c3b-5b68aa10cf3f",
|
||||
"harness_version": "vps50-cpu-matrix-1",
|
||||
"started_at_utc": "2026-05-05T07:00:10Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "vps50",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://81.17.99.14:11436",
|
||||
"node_specs": {
|
||||
"cpu": "AMD EPYC 16 vCPUs",
|
||||
"ram_gb": 62,
|
||||
"free_ram_gb": 57,
|
||||
"gpu": "none"
|
||||
},
|
||||
"purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)",
|
||||
"models": [
|
||||
"phi-4",
|
||||
"gemma-4-26b-a4b",
|
||||
"qwen3-30b-a3b",
|
||||
"qwen2.5-72b"
|
||||
]
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
9
runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f/run.jsonl
Normal file
9
runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f/run.jsonl
Normal file
@@ -0,0 +1,9 @@
|
||||
{"type": "meta", "benchmark_run_id": "cef4b219-6b65-4740-8c3b-5b68aa10cf3f", "harness_version": "vps50-cpu-matrix-1", "started_at_utc": "2026-05-05T07:00:10Z", "host": "Slobodans-MacBook-Air.local", "node": "vps50", "engine": "llamacpp", "predator_target_url": "http://81.17.99.14:11436", "node_specs": {"cpu": "AMD EPYC 16 vCPUs", "ram_gb": 62, "free_ram_gb": 57, "gpu": "none"}, "purpose": "Sloba 2026-05-05 ask: bench VPS50 CPU box with the established llama.cpp config; primarily 30B-A3B + 70B-tier Qwen + bigger Gemma-4 + a 'Chinchilla smaller' (Phi-4 14B as proxy)", "models": ["phi-4", "gemma-4-26b-a4b", "qwen3-30b-a3b", "qwen2.5-72b"]}
|
||||
{"type": "ram_snapshot", "model_key": "phi-4", "cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k", "raw": "total used free shared buff/cache available\nMem: 64301 16874 39162 37 9153 47426\nSwap: 0 0 0"}
|
||||
{"type": "llama_bench", "model_key": "phi-4", "cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k", "raw": "| model | size | params | backend | threads | test | t/s |\n| ------------------------------ | ---------: | ---------: | ---------- | ------: | --------------: | -------------------: |\n| llama 13B Q4_K - Medium | 8.28 GiB | 14.66 B | CPU | 16 | pp256 | 0.89 \u00b1 0.13 |"}
|
||||
{"type": "call", "cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k", "model_key": "phi-4", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 540002, "prompt_tokens": 8, "completion_tokens": 10, "tokens_per_sec": 0.01851844993166692, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 34, "error": null}
|
||||
{"type": "call", "cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k", "model_key": "phi-4", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 628077, "prompt_tokens": 8, "completion_tokens": 10, "tokens_per_sec": 0.015921614706477072, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 34, "error": null}
|
||||
{"type": "call", "cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k", "model_key": "phi-4", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 512076, "prompt_tokens": 8, "completion_tokens": 10, "tokens_per_sec": 0.01952835126035979, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 34, "error": null}
|
||||
{"type": "call", "cell_id": "vps50:llamacpp:phi-4-q4km-cpu-ctx32k", "model_key": "phi-4", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 515603, "prompt_tokens": 8, "completion_tokens": 10, "tokens_per_sec": 0.019394766903993967, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 34, "error": null}
|
||||
{"type": "skipped", "model_key": "phi-4-P-MEDIUM-and-P-HARD", "reason": "curl_max_time_1800_too_short_for_cpu_dense_14b_at_0.2_tps; hello row complete"}
|
||||
{"type": "skipped", "model_key": "qwen2.5-72b", "reason": "sloba_72b_bail_2026-05-05"}
|
||||
18
runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f/run.log
Normal file
18
runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f/run.log
Normal file
@@ -0,0 +1,18 @@
|
||||
[06:59:59Z] === vps50-cpu-matrix run_id=cef4b219-6b65-4740-8c3b-5b68aa10cf3f ===
|
||||
[06:59:59Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f.jsonl
|
||||
[06:59:59Z] Plan: phi-4 gemma-4-26b-a4b qwen3-30b-a3b qwen2.5-72b (in size order)
|
||||
[06:59:59Z] Creating run-mirror dir on VPS50: /home/admin/WeeyugaBench/runs/cef4b219-6b65-4740-8c3b-5b68aa10cf3f
|
||||
[07:00:10Z] >>> CELL: phi-4 (phi-4-Q4_K_M.gguf)
|
||||
[07:00:10Z] Polling for phi-4-Q4_K_M.gguf (need >= 8.0 GB) on VPS50...
|
||||
[07:00:14Z] phi-4-Q4_K_M.gguf ready: 8.28 GB
|
||||
[07:00:14Z] Stopping llama-server on VPS50...
|
||||
[07:00:18Z] Starting llama-server with phi-4-Q4_K_M.gguf for cell 'phi-4'...
|
||||
[07:00:19Z] Waiting for llama-server (cell=phi-4, up to 15 min — large mmap on CPU box)...
|
||||
[07:02:06Z] llama-server up after 93s
|
||||
[07:02:10Z] Running llama-bench for phi-4 (CPU, may take 15-30 min for 30B+)...
|
||||
[09:12:28Z] Running prompts for phi-4 (cold + 3 warm per prompt)...
|
||||
[09:12:28Z] prompt=hello cold
|
||||
[09:21:28Z] prompt=hello warm 1
|
||||
[09:31:57Z] prompt=hello warm 2
|
||||
[09:40:29Z] prompt=hello warm 3
|
||||
[09:49:05Z] prompt=P-MEDIUM cold
|
||||
74
runs/d1cff064-9141-48e0-b1d2-729b134e0543/metadata.json
Normal file
74
runs/d1cff064-9141-48e0-b1d2-729b134e0543/metadata.json
Normal file
@@ -0,0 +1,74 @@
|
||||
{
|
||||
"id": "d1cff064-9141-48e0-b1d2-729b134e0543",
|
||||
"title": "Predator Qwen rerun \u2014 d1cff064-9141-48e0-b1d2-729b134e0543",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"harness": "pavilion-a3b-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b-iq2xxs"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.",
|
||||
"summary_md_path": "runs/d1cff064-9141-48e0-b1d2-729b134e0543.md",
|
||||
"raw_jsonl_path": "runs/d1cff064-9141-48e0-b1d2-729b134e0543.jsonl",
|
||||
"log_path": "runs/d1cff064-9141-48e0-b1d2-729b134e0543.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 0,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T22:02:28Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"pavilion",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "meta-only",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"n_calls": 0,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": []
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "d1cff064-9141-48e0-b1d2-729b134e0543",
|
||||
"harness_version": "pavilion-a3b-1",
|
||||
"started_at_utc": "2026-05-04T22:02:28Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "pavilion",
|
||||
"engine": "llamacpp",
|
||||
"pavilion_target_url": "http://10.8.0.3:11437",
|
||||
"purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison",
|
||||
"models": {
|
||||
"qwen3-30b-a3b-pavilion": {
|
||||
"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500",
|
||||
"gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf",
|
||||
"reasoning_budget": 500,
|
||||
"ngl": 12,
|
||||
"ctx": 2048,
|
||||
"note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
2
runs/d1cff064-9141-48e0-b1d2-729b134e0543/run.jsonl
Normal file
2
runs/d1cff064-9141-48e0-b1d2-729b134e0543/run.jsonl
Normal file
@@ -0,0 +1,2 @@
|
||||
{"type": "meta", "benchmark_run_id": "d1cff064-9141-48e0-b1d2-729b134e0543", "harness_version": "pavilion-a3b-1", "started_at_utc": "2026-05-04T22:02:28Z", "host": "Slobodans-MacBook-Air.local", "node": "pavilion", "engine": "llamacpp", "pavilion_target_url": "http://10.8.0.3:11437", "purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison", "models": {"qwen3-30b-a3b-pavilion": {"cell_id": "pavilion:llamacpp:qwen3:30b-a3b-iq2xxs-think500", "gguf": "Qwen3-30B-A3B-UD-IQ2_XXS.gguf", "reasoning_budget": 500, "ngl": 12, "ctx": 2048, "note": "30B total / 3B active MoE; 9.9GB IQ2_XXS; partial CPU offload heavy"}}}
|
||||
{"type": "skipped", "model_key": "qwen3-30b-a3b-pavilion", "reason": "server_did_not_start"}
|
||||
15
runs/d1cff064-9141-48e0-b1d2-729b134e0543/run.log
Normal file
15
runs/d1cff064-9141-48e0-b1d2-729b134e0543/run.log
Normal file
@@ -0,0 +1,15 @@
|
||||
[22:02:23Z] === pavilion-a3b-bench run_id=d1cff064-9141-48e0-b1d2-729b134e0543 ===
|
||||
[22:02:23Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/d1cff064-9141-48e0-b1d2-729b134e0543.jsonl
|
||||
[22:02:23Z] Creating run-mirror dir on Pavilion: D:\WeeyugaBench\runs\d1cff064-9141-48e0-b1d2-729b134e0543
|
||||
[22:02:28Z] Polling for Qwen3-30B-A3B-UD-IQ2_XXS.gguf on Pavilion...
|
||||
[22:02:30Z] GGUF ready: 9.65 GB
|
||||
[22:02:30Z] Stopping any llama-server on Pavilion :11437...
|
||||
[22:02:35Z] Starting llama-server with Qwen3-30B-A3B-UD-IQ2_XXS.gguf on :11437...
|
||||
[22:02:40Z] Waiting for llama-server (give up to 6 min — IQ2_XXS mmap on Pavilion is slower)...
|
||||
[22:10:17Z] TIMEOUT — llama-server didn't come up within 360s
|
||||
[22:10:17Z] Server failed to start
|
||||
[22:10:17Z] Stopping any llama-server on Pavilion :11437...
|
||||
[22:10:22Z] === bench complete ===
|
||||
[22:10:22Z] Synthesizing report...
|
||||
[22:10:22Z] Report: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/d1cff064-9141-48e0-b1d2-729b134e0543.md
|
||||
[22:10:22Z] Mirroring run-dir to Pavilion...
|
||||
52
runs/d1cff064-9141-48e0-b1d2-729b134e0543/run.md
Normal file
52
runs/d1cff064-9141-48e0-b1d2-729b134e0543/run.md
Normal file
@@ -0,0 +1,52 @@
|
||||
# Predator Qwen rerun — d1cff064-9141-48e0-b1d2-729b134e0543
|
||||
|
||||
- Started: 2026-05-04T22:02:28Z
|
||||
- Driver host: Slobodans-MacBook-Air.local
|
||||
- Node: pavilion (?)
|
||||
- Engine: llamacpp
|
||||
- Harness: pavilion-a3b-1
|
||||
- Purpose: Sloba 2026-05-04: Qwen3-30B-A3B (MoE) on weaker Pavilion hardware (GTX 1050 4GB / 16GB RAM) for cross-machine A3B comparison
|
||||
|
||||
## Configurations
|
||||
|
||||
| Key | Cell | GGUF | Reasoning budget | Sampling | System prompt |
|
||||
|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 500 | T=1.0 top_p=0.95 top_k=20 (thinking-mode) | — |
|
||||
| qwen-9b-nothink | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 0 | T=0.7 top_p=0.8 top_k=20 (instruct-mode) | Answer directly without showing reasoning. |
|
||||
| qwen3-14b | `?` | `Qwen3-14B-Q4_K_M.gguf` | 1024 | T=0.7 top_p=0.8 top_k=20 (Qwen3 default) | — |
|
||||
|
||||
## Skipped
|
||||
- **qwen3-30b-a3b-pavilion**: server_did_not_start
|
||||
|
||||
## llama-bench synthetic throughput (pp512 + tg128)
|
||||
|
||||
| Cell | pp512 (t/s) | tg128 (t/s) |
|
||||
|---|---|---|
|
||||
|
||||
## VRAM snapshot (used / free / total MB, post-load)
|
||||
|
||||
| Cell | Used | Free | Total |
|
||||
|---|---|---|---|
|
||||
|
||||
## Per-prompt latency, throughput, and thinking-vs-answer split
|
||||
|
||||
| Cell | Prompt | Cold dur (ms) | Cold tok/s | Warm tok/s mean | Warm dur p50 (ms) | Reasoning chars (warm mean) | Answer chars (warm mean) | Errors |
|
||||
|---|---|---|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-think500 | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen-9b-nothink | P-HARD | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | hello | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-MEDIUM | — | — | — | — | — | — | 0 |
|
||||
| qwen3-14b | P-HARD | — | — | — | — | — | — | 0 |
|
||||
|
||||
## Notes
|
||||
|
||||
- `Reasoning chars` is `len(message.reasoning_content)` from llama.cpp's response;
|
||||
`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.
|
||||
- For `qwen-9b-nothink`, expectation is `Reasoning chars` ≈ 0 (budget=0 + system instruction).
|
||||
- For `qwen-9b-think500`, expectation is `Reasoning chars` materially smaller than the trio-bench's ~1024-budget run; the cap should bound the worst-case.
|
||||
- For `qwen3-14b` on a 6 GB GTX 1060 with an 8.4 GB Q4_K_M GGUF: partial CPU offload kicks
|
||||
in at load time; throughput will be 30-50% of the 9B run.
|
||||
1645
runs/e08a7051-a856-4053-b34b-561d7ce5e8cf/metadata.json
Normal file
1645
runs/e08a7051-a856-4053-b34b-561d7ce5e8cf/metadata.json
Normal file
File diff suppressed because it is too large
Load Diff
91
runs/e08a7051-a856-4053-b34b-561d7ce5e8cf/run.jsonl
Normal file
91
runs/e08a7051-a856-4053-b34b-561d7ce5e8cf/run.jsonl
Normal file
@@ -0,0 +1,91 @@
|
||||
{"type": "meta", "benchmark_run_id": "e08a7051-a856-4053-b34b-561d7ce5e8cf", "harness_version": "predator-a3b-ngl-ctx-2d-1", "started_at_utc": "2026-05-05T07:43:00Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "purpose": "Sloba 2026-05-05: NGL=12 and NGL=24 \u00d7 ctx sweep up to 131k. Find the actual context ceiling at the two NGL sweet spots from the prior bench.", "cells": [{"key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536}, {"key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304}, {"key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072}, {"key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152}, {"key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536}, {"key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304}], "gguf": "Qwen3-30B-A3B-UD-IQ2_M.gguf", "max_tokens_per_prompt": {"hello": 512, "P-MEDIUM": 1024, "P-HARD": 2048}, "methodology_notes": "Sloba 2026-05-05: 'max tokens should be bigger than reasoning budget'. Prior bench had hello max_tokens=256 < reasoning_budget=500 \u2192 content_chars=0. Bumped to 512/1024/2048 so reasoning + answer both fit."}
|
||||
{"type": "vram_snapshot", "model_key": "ngl12-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "ngl": 12, "ctx": 65536, "raw": "5397, 633, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl12-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "ngl": 12, "ctx": 65536, "raw": "15020,13605,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl12-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "ngl": 12, "ctx": 65536, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | pp256 | 126.21 \u00b1 2.67 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | tg64 | 6.32 \u00b1 0.94 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 25689, "prompt_tokens": 9, "completion_tokens": 145, "tokens_per_sec": 5.644439254155475, "finish_reason": "stop", "reasoning_chars": 569, "content_chars": 35, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 10035, "prompt_tokens": 9, "completion_tokens": 68, "tokens_per_sec": 6.776283009466866, "finish_reason": "stop", "reasoning_chars": 223, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 15585, "prompt_tokens": 9, "completion_tokens": 106, "tokens_per_sec": 6.801411613731151, "finish_reason": "stop", "reasoning_chars": 390, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 24321, "prompt_tokens": 9, "completion_tokens": 120, "tokens_per_sec": 4.934007647711853, "finish_reason": "stop", "reasoning_chars": 474, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 110762, "prompt_tokens": 22, "completion_tokens": 586, "tokens_per_sec": 5.29062313789928, "finish_reason": "stop", "reasoning_chars": 2148, "content_chars": 748, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 76258, "prompt_tokens": 22, "completion_tokens": 389, "tokens_per_sec": 5.101104146450209, "finish_reason": "stop", "reasoning_chars": 1507, "content_chars": 477, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 70359, "prompt_tokens": 22, "completion_tokens": 376, "tokens_per_sec": 5.344021376085505, "finish_reason": "stop", "reasoning_chars": 1406, "content_chars": 422, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 81622, "prompt_tokens": 22, "completion_tokens": 445, "tokens_per_sec": 5.451961480973267, "finish_reason": "stop", "reasoning_chars": 1685, "content_chars": 499, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 142035, "prompt_tokens": 30, "completion_tokens": 746, "tokens_per_sec": 5.252226563875102, "finish_reason": "stop", "reasoning_chars": 1459, "content_chars": 1651, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 150027, "prompt_tokens": 30, "completion_tokens": 801, "tokens_per_sec": 5.339038972984863, "finish_reason": "stop", "reasoning_chars": 1018, "content_chars": 2354, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 162391, "prompt_tokens": 30, "completion_tokens": 816, "tokens_per_sec": 5.024909015893738, "finish_reason": "stop", "reasoning_chars": 1663, "content_chars": 1826, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx64k", "model_key": "ngl12-ctx64k", "ngl": 12, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 157797, "prompt_tokens": 30, "completion_tokens": 763, "tokens_per_sec": 4.835326400375165, "finish_reason": "stop", "reasoning_chars": 1782, "content_chars": 1590, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl12-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "ngl": 12, "ctx": 98304, "raw": "5870, 160, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl12-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "ngl": 12, "ctx": 98304, "raw": "17590,11035,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl12-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "ngl": 12, "ctx": 98304, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | pp256 | 126.69 \u00b1 4.44 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | tg64 | 6.01 \u00b1 0.94 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 13701, "prompt_tokens": 9, "completion_tokens": 79, "tokens_per_sec": 5.766002481570688, "finish_reason": "stop", "reasoning_chars": 280, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 33047, "prompt_tokens": 9, "completion_tokens": 163, "tokens_per_sec": 4.932369050140709, "finish_reason": "stop", "reasoning_chars": 618, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 15830, "prompt_tokens": 9, "completion_tokens": 106, "tokens_per_sec": 6.69614655716993, "finish_reason": "stop", "reasoning_chars": 400, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 20392, "prompt_tokens": 9, "completion_tokens": 120, "tokens_per_sec": 5.884660651235779, "finish_reason": "stop", "reasoning_chars": 436, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 45721, "prompt_tokens": 22, "completion_tokens": 287, "tokens_per_sec": 6.277203035804117, "finish_reason": "stop", "reasoning_chars": 1047, "content_chars": 398, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 59728, "prompt_tokens": 22, "completion_tokens": 333, "tokens_per_sec": 5.575274578087329, "finish_reason": "stop", "reasoning_chars": 1152, "content_chars": 503, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 57354, "prompt_tokens": 22, "completion_tokens": 325, "tokens_per_sec": 5.666562053213377, "finish_reason": "stop", "reasoning_chars": 1139, "content_chars": 429, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 104255, "prompt_tokens": 22, "completion_tokens": 610, "tokens_per_sec": 5.85103831950506, "finish_reason": "stop", "reasoning_chars": 2408, "content_chars": 561, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 137543, "prompt_tokens": 30, "completion_tokens": 788, "tokens_per_sec": 5.729117439637059, "finish_reason": "stop", "reasoning_chars": 1966, "content_chars": 1357, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 144293, "prompt_tokens": 30, "completion_tokens": 796, "tokens_per_sec": 5.516553124545196, "finish_reason": "stop", "reasoning_chars": 1825, "content_chars": 1536, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 101864, "prompt_tokens": 30, "completion_tokens": 581, "tokens_per_sec": 5.703683342495877, "finish_reason": "stop", "reasoning_chars": 1282, "content_chars": 1232, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx96k", "model_key": "ngl12-ctx96k", "ngl": 12, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 127942, "prompt_tokens": 30, "completion_tokens": 754, "tokens_per_sec": 5.893295399477889, "finish_reason": "stop", "reasoning_chars": 1961, "content_chars": 1261, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl12-ctx131k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "ngl": 12, "ctx": 131072, "raw": "5814, 216, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl12-ctx131k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "ngl": 12, "ctx": 131072, "raw": "20818,7806,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl12-ctx131k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "ngl": 12, "ctx": 131072, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | pp256 | 26.49 \u00b1 11.80 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 12 | tg64 | 4.94 \u00b1 0.78 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 59744, "prompt_tokens": 9, "completion_tokens": 135, "tokens_per_sec": 2.259641135511516, "finish_reason": "stop", "reasoning_chars": 504, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 10810, "prompt_tokens": 9, "completion_tokens": 68, "tokens_per_sec": 6.290471785383904, "finish_reason": "stop", "reasoning_chars": 224, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 20002, "prompt_tokens": 9, "completion_tokens": 101, "tokens_per_sec": 5.049495050494951, "finish_reason": "stop", "reasoning_chars": 384, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 43743, "prompt_tokens": 9, "completion_tokens": 233, "tokens_per_sec": 5.326566536360103, "finish_reason": "stop", "reasoning_chars": 910, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 118125, "prompt_tokens": 22, "completion_tokens": 586, "tokens_per_sec": 4.960846560846561, "finish_reason": "stop", "reasoning_chars": 2415, "content_chars": 435, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 116198, "prompt_tokens": 22, "completion_tokens": 598, "tokens_per_sec": 5.146388061756657, "finish_reason": "stop", "reasoning_chars": 2059, "content_chars": 865, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 95486, "prompt_tokens": 22, "completion_tokens": 471, "tokens_per_sec": 4.932660285277422, "finish_reason": "stop", "reasoning_chars": 1844, "content_chars": 502, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 84370, "prompt_tokens": 22, "completion_tokens": 482, "tokens_per_sec": 5.71293113665995, "finish_reason": "stop", "reasoning_chars": 1858, "content_chars": 488, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 150702, "prompt_tokens": 30, "completion_tokens": 772, "tokens_per_sec": 5.122692465926132, "finish_reason": "stop", "reasoning_chars": 1228, "content_chars": 2007, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 148897, "prompt_tokens": 30, "completion_tokens": 764, "tokens_per_sec": 5.131063755481978, "finish_reason": "stop", "reasoning_chars": 1083, "content_chars": 2199, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 159125, "prompt_tokens": 30, "completion_tokens": 762, "tokens_per_sec": 4.788688138256088, "finish_reason": "stop", "reasoning_chars": 1767, "content_chars": 1578, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl12-ctx131k", "model_key": "ngl12-ctx131k", "ngl": 12, "ctx": 131072, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 149672, "prompt_tokens": 30, "completion_tokens": 805, "tokens_per_sec": 5.378427494788604, "finish_reason": "stop", "reasoning_chars": 1279, "content_chars": 2259, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl24-ctx48k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "ngl": 24, "ctx": 49152, "raw": "5826, 204, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl24-ctx48k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "ngl": 24, "ctx": 49152, "raw": "17056,11569,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl24-ctx48k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "ngl": 24, "ctx": 49152, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | pp256 | 48.01 \u00b1 0.46 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | tg64 | 6.50 \u00b1 0.03 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 19864, "prompt_tokens": 9, "completion_tokens": 123, "tokens_per_sec": 6.192106322996375, "finish_reason": "stop", "reasoning_chars": 467, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 14734, "prompt_tokens": 9, "completion_tokens": 101, "tokens_per_sec": 6.854893443735578, "finish_reason": "stop", "reasoning_chars": 370, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 15636, "prompt_tokens": 9, "completion_tokens": 108, "tokens_per_sec": 6.907137375287798, "finish_reason": "stop", "reasoning_chars": 399, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 14990, "prompt_tokens": 9, "completion_tokens": 103, "tokens_per_sec": 6.871247498332221, "finish_reason": "stop", "reasoning_chars": 380, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 58574, "prompt_tokens": 22, "completion_tokens": 385, "tokens_per_sec": 6.572882166148803, "finish_reason": "stop", "reasoning_chars": 1365, "content_chars": 480, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 89924, "prompt_tokens": 22, "completion_tokens": 594, "tokens_per_sec": 6.60557804368133, "finish_reason": "stop", "reasoning_chars": 2406, "content_chars": 484, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 92501, "prompt_tokens": 22, "completion_tokens": 606, "tokens_per_sec": 6.551280526697008, "finish_reason": "stop", "reasoning_chars": 2308, "content_chars": 671, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 59896, "prompt_tokens": 22, "completion_tokens": 403, "tokens_per_sec": 6.728329103779885, "finish_reason": "stop", "reasoning_chars": 1446, "content_chars": 537, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 121576, "prompt_tokens": 30, "completion_tokens": 768, "tokens_per_sec": 6.317036257156018, "finish_reason": "stop", "reasoning_chars": 1226, "content_chars": 1991, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 69317, "prompt_tokens": 30, "completion_tokens": 463, "tokens_per_sec": 6.6794581415814305, "finish_reason": "stop", "reasoning_chars": 1048, "content_chars": 963, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 114261, "prompt_tokens": 30, "completion_tokens": 741, "tokens_per_sec": 6.485152414209573, "finish_reason": "stop", "reasoning_chars": 1246, "content_chars": 1964, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx48k", "model_key": "ngl24-ctx48k", "ngl": 24, "ctx": 49152, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 115201, "prompt_tokens": 30, "completion_tokens": 746, "tokens_per_sec": 6.475638232307012, "finish_reason": "stop", "reasoning_chars": 1171, "content_chars": 1994, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl24-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "ngl": 24, "ctx": 65536, "raw": "5780, 250, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl24-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "ngl": 24, "ctx": 65536, "raw": "18513,10111,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl24-ctx64k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "ngl": 24, "ctx": 65536, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | pp256 | 27.92 \u00b1 3.61 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | tg64 | 5.63 \u00b1 0.39 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 18535, "prompt_tokens": 9, "completion_tokens": 103, "tokens_per_sec": 5.557054221742649, "finish_reason": "stop", "reasoning_chars": 380, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 18478, "prompt_tokens": 9, "completion_tokens": 127, "tokens_per_sec": 6.873038207598224, "finish_reason": "stop", "reasoning_chars": 495, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 14692, "prompt_tokens": 9, "completion_tokens": 100, "tokens_per_sec": 6.806425265450585, "finish_reason": "stop", "reasoning_chars": 361, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 14351, "prompt_tokens": 9, "completion_tokens": 99, "tokens_per_sec": 6.898473973939098, "finish_reason": "stop", "reasoning_chars": 377, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 99471, "prompt_tokens": 22, "completion_tokens": 621, "tokens_per_sec": 6.2430256054528455, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 2991, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 56166, "prompt_tokens": 22, "completion_tokens": 362, "tokens_per_sec": 6.445180358223837, "finish_reason": "stop", "reasoning_chars": 1274, "content_chars": 513, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 92504, "prompt_tokens": 22, "completion_tokens": 596, "tokens_per_sec": 6.442964628556602, "finish_reason": "stop", "reasoning_chars": 2393, "content_chars": 481, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 69604, "prompt_tokens": 22, "completion_tokens": 459, "tokens_per_sec": 6.5944485949083385, "finish_reason": "stop", "reasoning_chars": 1810, "content_chars": 507, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 123427, "prompt_tokens": 30, "completion_tokens": 761, "tokens_per_sec": 6.165587756325601, "finish_reason": "stop", "reasoning_chars": 1221, "content_chars": 1919, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 90927, "prompt_tokens": 30, "completion_tokens": 577, "tokens_per_sec": 6.345749887272207, "finish_reason": "stop", "reasoning_chars": 1191, "content_chars": 1282, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 131495, "prompt_tokens": 30, "completion_tokens": 831, "tokens_per_sec": 6.319631925168257, "finish_reason": "stop", "reasoning_chars": 2262, "content_chars": 1303, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx64k", "model_key": "ngl24-ctx64k", "ngl": 24, "ctx": 65536, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 125561, "prompt_tokens": 30, "completion_tokens": 777, "tokens_per_sec": 6.188227236164095, "finish_reason": "stop", "reasoning_chars": 998, "content_chars": 2187, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "ngl24-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "ngl": 24, "ctx": 98304, "raw": "5750, 280, 6144"}
|
||||
{"type": "ram_snapshot", "model_key": "ngl24-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "ngl": 24, "ctx": 98304, "raw": "21927,6698,28625"}
|
||||
{"type": "llama_bench", "model_key": "ngl24-ctx96k", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "ngl": 24, "ctx": 98304, "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | pp256 | 15.72 \u00b1 3.11 |\r\n| qwen3moe 30B.A3B IQ2_M - 2.7 bpw | 10.11 GiB | 30.53 B | CUDA | 24 | tg64 | 5.22 \u00b1 0.53 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 35465, "prompt_tokens": 9, "completion_tokens": 96, "tokens_per_sec": 2.7068941209643307, "finish_reason": "stop", "reasoning_chars": 365, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 27111, "prompt_tokens": 9, "completion_tokens": 167, "tokens_per_sec": 6.1598613109070115, "finish_reason": "stop", "reasoning_chars": 547, "content_chars": 152, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 24742, "prompt_tokens": 9, "completion_tokens": 165, "tokens_per_sec": 6.668822245574327, "finish_reason": "stop", "reasoning_chars": 571, "content_chars": 116, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 13366, "prompt_tokens": 9, "completion_tokens": 86, "tokens_per_sec": 6.43423612150232, "finish_reason": "stop", "reasoning_chars": 290, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 72290, "prompt_tokens": 22, "completion_tokens": 432, "tokens_per_sec": 5.97593028081339, "finish_reason": "stop", "reasoning_chars": 1712, "content_chars": 427, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 92055, "prompt_tokens": 22, "completion_tokens": 596, "tokens_per_sec": 6.474390310140676, "finish_reason": "stop", "reasoning_chars": 2005, "content_chars": 919, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 64317, "prompt_tokens": 22, "completion_tokens": 414, "tokens_per_sec": 6.436867391202949, "finish_reason": "stop", "reasoning_chars": 1583, "content_chars": 467, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 64420, "prompt_tokens": 22, "completion_tokens": 431, "tokens_per_sec": 6.690468798509779, "finish_reason": "stop", "reasoning_chars": 1652, "content_chars": 492, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 127296, "prompt_tokens": 30, "completion_tokens": 777, "tokens_per_sec": 6.1038838612368025, "finish_reason": "stop", "reasoning_chars": 1080, "content_chars": 2215, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 123105, "prompt_tokens": 30, "completion_tokens": 781, "tokens_per_sec": 6.344177734454328, "finish_reason": "stop", "reasoning_chars": 1163, "content_chars": 2172, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 74598, "prompt_tokens": 30, "completion_tokens": 490, "tokens_per_sec": 6.568540711547227, "finish_reason": "stop", "reasoning_chars": 1140, "content_chars": 974, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500-ngl24-ctx96k", "model_key": "ngl24-ctx96k", "ngl": 24, "ctx": 98304, "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 112829, "prompt_tokens": 30, "completion_tokens": 728, "tokens_per_sec": 6.45224188816705, "finish_reason": "stop", "reasoning_chars": 2117, "content_chars": 895, "error": null}
|
||||
122
runs/e08a7051-a856-4053-b34b-561d7ce5e8cf/run.log
Normal file
122
runs/e08a7051-a856-4053-b34b-561d7ce5e8cf/run.log
Normal file
@@ -0,0 +1,122 @@
|
||||
[07:42:54Z] === predator-a3b-ngl-ctx-2d run_id=e08a7051-a856-4053-b34b-561d7ce5e8cf ===
|
||||
[07:42:54Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/e08a7051-a856-4053-b34b-561d7ce5e8cf.jsonl
|
||||
[07:42:54Z] Plan: 6 cells (NGL=12 × ctx=64k/96k/131k, NGL=24 × ctx=48k/64k/96k)
|
||||
[07:42:54Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\e08a7051-a856-4053-b34b-561d7ce5e8cf
|
||||
[07:43:00Z] >>> CELL: ngl12-ctx64k (NGL=12 ctx=65536)
|
||||
[07:43:00Z] Stopping llama-server on Predator...
|
||||
[07:43:04Z] Starting llama-server (key=ngl12-ctx64k, NGL=12, ctx=65536)...
|
||||
[07:43:07Z] Waiting for llama-server (key=ngl12-ctx64k, up to 15 min — large KV allocation)...
|
||||
[07:43:14Z] llama-server up after 6s
|
||||
[07:43:17Z] Running llama-bench for ngl12-ctx64k (NGL=12)...
|
||||
[07:44:29Z] Running prompts for ngl12-ctx64k (cold + 3 warm per prompt; max_tokens > reasoning_budget=500)...
|
||||
[07:44:29Z] prompt=hello cold (max_tokens=512)
|
||||
[07:44:55Z] prompt=hello warm 1
|
||||
[07:45:05Z] prompt=hello warm 2
|
||||
[07:45:21Z] prompt=hello warm 3
|
||||
[07:45:45Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[07:47:36Z] prompt=P-MEDIUM warm 1
|
||||
[07:48:52Z] prompt=P-MEDIUM warm 2
|
||||
[07:50:03Z] prompt=P-MEDIUM warm 3
|
||||
[07:51:25Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[07:53:47Z] prompt=P-HARD warm 1
|
||||
[07:56:17Z] prompt=P-HARD warm 2
|
||||
[07:58:59Z] prompt=P-HARD warm 3
|
||||
[08:01:37Z] >>> CELL: ngl12-ctx96k (NGL=12 ctx=98304)
|
||||
[08:01:37Z] Stopping llama-server on Predator...
|
||||
[08:01:42Z] Starting llama-server (key=ngl12-ctx96k, NGL=12, ctx=98304)...
|
||||
[08:01:45Z] Waiting for llama-server (key=ngl12-ctx96k, up to 15 min — large KV allocation)...
|
||||
[08:01:53Z] llama-server up after 7s
|
||||
[08:01:57Z] Running llama-bench for ngl12-ctx96k (NGL=12)...
|
||||
[08:03:13Z] Running prompts for ngl12-ctx96k (cold + 3 warm per prompt; max_tokens > reasoning_budget=500)...
|
||||
[08:03:13Z] prompt=hello cold (max_tokens=512)
|
||||
[08:03:27Z] prompt=hello warm 1
|
||||
[08:04:00Z] prompt=hello warm 2
|
||||
[08:04:16Z] prompt=hello warm 3
|
||||
[08:04:37Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[08:05:22Z] prompt=P-MEDIUM warm 1
|
||||
[08:06:22Z] prompt=P-MEDIUM warm 2
|
||||
[08:07:20Z] prompt=P-MEDIUM warm 3
|
||||
[08:09:04Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[08:11:22Z] prompt=P-HARD warm 1
|
||||
[08:13:46Z] prompt=P-HARD warm 2
|
||||
[08:15:28Z] prompt=P-HARD warm 3
|
||||
[08:17:36Z] >>> CELL: ngl12-ctx131k (NGL=12 ctx=131072)
|
||||
[08:17:36Z] Stopping llama-server on Predator...
|
||||
[08:17:41Z] Starting llama-server (key=ngl12-ctx131k, NGL=12, ctx=131072)...
|
||||
[08:17:45Z] Waiting for llama-server (key=ngl12-ctx131k, up to 15 min — large KV allocation)...
|
||||
[08:17:54Z] llama-server up after 7s
|
||||
[08:17:57Z] Running llama-bench for ngl12-ctx131k (NGL=12)...
|
||||
[08:21:09Z] Running prompts for ngl12-ctx131k (cold + 3 warm per prompt; max_tokens > reasoning_budget=500)...
|
||||
[08:21:09Z] prompt=hello cold (max_tokens=512)
|
||||
[08:22:09Z] prompt=hello warm 1
|
||||
[08:22:19Z] prompt=hello warm 2
|
||||
[08:22:40Z] prompt=hello warm 3
|
||||
[08:23:23Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[08:25:22Z] prompt=P-MEDIUM warm 1
|
||||
[08:27:18Z] prompt=P-MEDIUM warm 2
|
||||
[08:28:54Z] prompt=P-MEDIUM warm 3
|
||||
[08:30:18Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[08:32:49Z] prompt=P-HARD warm 1
|
||||
[08:35:18Z] prompt=P-HARD warm 2
|
||||
[08:37:57Z] prompt=P-HARD warm 3
|
||||
[08:40:27Z] >>> CELL: ngl24-ctx48k (NGL=24 ctx=49152)
|
||||
[08:40:27Z] Stopping llama-server on Predator...
|
||||
[08:40:31Z] Starting llama-server (key=ngl24-ctx48k, NGL=24, ctx=49152)...
|
||||
[08:40:34Z] Waiting for llama-server (key=ngl24-ctx48k, up to 15 min — large KV allocation)...
|
||||
[08:40:56Z] llama-server up after 18s
|
||||
[08:40:59Z] Running llama-bench for ngl24-ctx48k (NGL=24)...
|
||||
[08:42:30Z] Running prompts for ngl24-ctx48k (cold + 3 warm per prompt; max_tokens > reasoning_budget=500)...
|
||||
[08:42:30Z] prompt=hello cold (max_tokens=512)
|
||||
[08:42:50Z] prompt=hello warm 1
|
||||
[08:43:05Z] prompt=hello warm 2
|
||||
[08:43:21Z] prompt=hello warm 3
|
||||
[08:43:36Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[08:44:34Z] prompt=P-MEDIUM warm 1
|
||||
[08:46:04Z] prompt=P-MEDIUM warm 2
|
||||
[08:47:37Z] prompt=P-MEDIUM warm 3
|
||||
[08:48:37Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[08:50:39Z] prompt=P-HARD warm 1
|
||||
[08:51:48Z] prompt=P-HARD warm 2
|
||||
[08:53:42Z] prompt=P-HARD warm 3
|
||||
[08:55:38Z] >>> CELL: ngl24-ctx64k (NGL=24 ctx=65536)
|
||||
[08:55:38Z] Stopping llama-server on Predator...
|
||||
[08:55:42Z] Starting llama-server (key=ngl24-ctx64k, NGL=24, ctx=65536)...
|
||||
[08:55:45Z] Waiting for llama-server (key=ngl24-ctx64k, up to 15 min — large KV allocation)...
|
||||
[08:55:54Z] llama-server up after 8s
|
||||
[08:55:57Z] Running llama-bench for ngl24-ctx64k (NGL=24)...
|
||||
[08:58:08Z] Running prompts for ngl24-ctx64k (cold + 3 warm per prompt; max_tokens > reasoning_budget=500)...
|
||||
[08:58:08Z] prompt=hello cold (max_tokens=512)
|
||||
[08:58:27Z] prompt=hello warm 1
|
||||
[08:58:45Z] prompt=hello warm 2
|
||||
[08:59:00Z] prompt=hello warm 3
|
||||
[08:59:15Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[09:00:54Z] prompt=P-MEDIUM warm 1
|
||||
[09:01:50Z] prompt=P-MEDIUM warm 2
|
||||
[09:03:23Z] prompt=P-MEDIUM warm 3
|
||||
[09:04:33Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[09:06:36Z] prompt=P-HARD warm 1
|
||||
[09:08:07Z] prompt=P-HARD warm 2
|
||||
[09:10:19Z] prompt=P-HARD warm 3
|
||||
[09:12:25Z] >>> CELL: ngl24-ctx96k (NGL=24 ctx=98304)
|
||||
[09:12:25Z] Stopping llama-server on Predator...
|
||||
[09:12:29Z] Starting llama-server (key=ngl24-ctx96k, NGL=24, ctx=98304)...
|
||||
[09:12:31Z] Waiting for llama-server (key=ngl24-ctx96k, up to 15 min — large KV allocation)...
|
||||
[09:12:48Z] llama-server up after 14s
|
||||
[09:12:50Z] Running llama-bench for ngl24-ctx96k (NGL=24)...
|
||||
[09:16:24Z] Running prompts for ngl24-ctx96k (cold + 3 warm per prompt; max_tokens > reasoning_budget=500)...
|
||||
[09:16:24Z] prompt=hello cold (max_tokens=512)
|
||||
[09:17:00Z] prompt=hello warm 1
|
||||
[09:17:27Z] prompt=hello warm 2
|
||||
[09:17:52Z] prompt=hello warm 3
|
||||
[09:18:06Z] prompt=P-MEDIUM cold (max_tokens=1024)
|
||||
[09:19:18Z] prompt=P-MEDIUM warm 1
|
||||
[09:20:50Z] prompt=P-MEDIUM warm 2
|
||||
[09:21:54Z] prompt=P-MEDIUM warm 3
|
||||
[09:22:59Z] prompt=P-HARD cold (max_tokens=2048)
|
||||
[09:25:06Z] prompt=P-HARD warm 1
|
||||
[09:27:10Z] prompt=P-HARD warm 2
|
||||
[09:28:24Z] prompt=P-HARD warm 3
|
||||
[09:30:17Z] Stopping llama-server on Predator...
|
||||
[09:30:22Z] === bench complete ===
|
||||
[09:30:22Z] Mirroring run-dir to Predator...
|
||||
[09:30:29Z] On-device mirror: predator:D:\WeeyugaBench\runs\e08a7051-a856-4053-b34b-561d7ce5e8cf\
|
||||
641
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/metadata.json
Normal file
641
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/metadata.json
Normal file
@@ -0,0 +1,641 @@
|
||||
{
|
||||
"id": "fba9d9b1-cc5d-40bc-9e21-beafbb72c65d",
|
||||
"title": "Predator Qwen rerun \u2014 fba9d9b1-cc5d-40bc-9e21-beafbb72c65d",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-qwen-rerun-1",
|
||||
"model_family": "qwen3/qwen3.5",
|
||||
"model_sizes": [
|
||||
"qwen3.5:9b",
|
||||
"qwen3:14b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.",
|
||||
"summary_md_path": "runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d.md",
|
||||
"raw_jsonl_path": "runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d.jsonl",
|
||||
"log_path": "runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d.log",
|
||||
"synthesis_doc": "A3B_AND_CPU_OVERNIGHT_2026-05-05.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 30474.33,
|
||||
"duration_ms_p50": 33717.5,
|
||||
"tokens_per_sec_mean": 14.25,
|
||||
"tokens_per_sec_max": 15.32
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 10425.75,
|
||||
"duration_ms_p50": 7200.0,
|
||||
"tokens_per_sec_mean": 12.55,
|
||||
"tokens_per_sec_max": 14.95
|
||||
},
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"n_calls": 8,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 130876.17,
|
||||
"duration_ms_p50": 78946.0,
|
||||
"tokens_per_sec_mean": 1.06,
|
||||
"tokens_per_sec_max": 1.33
|
||||
}
|
||||
],
|
||||
"n_calls_total": 36,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T17:49:07Z",
|
||||
"tags": [
|
||||
"predator",
|
||||
"qwen3",
|
||||
"qwen3.5",
|
||||
"rerun"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500",
|
||||
"n_calls": 14,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": 30474.33,
|
||||
"duration_ms_p50": 33717.5,
|
||||
"tokens_per_sec_mean": 14.25,
|
||||
"tokens_per_sec_max": 15.32,
|
||||
"calls": [
|
||||
{
|
||||
"type": "vram_snapshot",
|
||||
"model_key": "qwen-9b-think500",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500",
|
||||
"raw": "5887, 143, 6144"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "qwen-9b-think500",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500",
|
||||
"raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | pp512 | 61.32 \u00b1 1.61 |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | tg128 | 7.68 \u00b1 0.06 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500",
|
||||
"model_key": "qwen-9b-think500",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 6773,
|
||||
"prompt_tokens": 11,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 9.449283921452828,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 234,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
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"raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | CUDA | 99 | pp512 | 52.96 \u00b1 4.25 |\r\n| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | CUDA | 99 | tg128 | 0.86 \u00b1 0.00 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"model_key": "qwen3-14b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 98037,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 0.6528147536134317,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 279,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"model_key": "qwen3-14b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 59855,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 1.0692506891654834,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 293,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"model_key": "qwen3-14b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 2,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 58654,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 1.0911446789647765,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 276,
|
||||
"content_chars": 0,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"model_key": "qwen3-14b",
|
||||
"prompt_id": "hello",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 58891,
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 64,
|
||||
"tokens_per_sec": 1.0867534937426773,
|
||||
"finish_reason": "length",
|
||||
"reasoning_chars": 222,
|
||||
"content_chars": 34,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"model_key": "qwen3-14b",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 0,
|
||||
"phase": "cold",
|
||||
"total_duration_ms": 299410,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 342,
|
||||
"tokens_per_sec": 1.142246417955312,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 1118,
|
||||
"content_chars": 618,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"model_key": "qwen3-14b",
|
||||
"prompt_id": "P-MEDIUM",
|
||||
"run_idx": 1,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 210410,
|
||||
"prompt_tokens": 22,
|
||||
"completion_tokens": 280,
|
||||
"tokens_per_sec": 1.3307352312152465,
|
||||
"finish_reason": "stop",
|
||||
"reasoning_chars": 839,
|
||||
"content_chars": 554,
|
||||
"error": null
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "fba9d9b1-cc5d-40bc-9e21-beafbb72c65d",
|
||||
"harness_version": "predator-qwen-rerun-1",
|
||||
"started_at_utc": "2026-05-04T17:49:07Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "predator",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://10.8.0.7:11436",
|
||||
"purpose": "Sloba's follow-up to trio-bench: budget-capped thinking, thinking-off comparison, 14B-on-6GB-GPU feasibility test",
|
||||
"models": {
|
||||
"qwen-9b-think500": {
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500",
|
||||
"gguf": "Qwen3.5-9B-Q4_K_M.gguf",
|
||||
"reasoning_budget": 500
|
||||
},
|
||||
"qwen-9b-nothink": {
|
||||
"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink",
|
||||
"gguf": "Qwen3.5-9B-Q4_K_M.gguf",
|
||||
"reasoning_budget": 0,
|
||||
"system_msg": "Answer directly without showing reasoning."
|
||||
},
|
||||
"qwen3-14b": {
|
||||
"cell_id": "predator:llamacpp:qwen3:14b-q4km",
|
||||
"gguf": "Qwen3-14B-Q4_K_M.gguf",
|
||||
"reasoning_budget": 1024,
|
||||
"note": "8.4GB Q4_K_M on 6GB GPU; partial CPU offload expected"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
37
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/run.jsonl
Normal file
37
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/run.jsonl
Normal file
@@ -0,0 +1,37 @@
|
||||
{"type": "meta", "benchmark_run_id": "fba9d9b1-cc5d-40bc-9e21-beafbb72c65d", "harness_version": "predator-qwen-rerun-1", "started_at_utc": "2026-05-04T17:49:07Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "predator_target_url": "http://10.8.0.7:11436", "purpose": "Sloba's follow-up to trio-bench: budget-capped thinking, thinking-off comparison, 14B-on-6GB-GPU feasibility test", "models": {"qwen-9b-think500": {"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "gguf": "Qwen3.5-9B-Q4_K_M.gguf", "reasoning_budget": 500}, "qwen-9b-nothink": {"cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "gguf": "Qwen3.5-9B-Q4_K_M.gguf", "reasoning_budget": 0, "system_msg": "Answer directly without showing reasoning."}, "qwen3-14b": {"cell_id": "predator:llamacpp:qwen3:14b-q4km", "gguf": "Qwen3-14B-Q4_K_M.gguf", "reasoning_budget": 1024, "note": "8.4GB Q4_K_M on 6GB GPU; partial CPU offload expected"}}}
|
||||
{"type": "vram_snapshot", "model_key": "qwen-9b-think500", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "raw": "5887, 143, 6144"}
|
||||
{"type": "llama_bench", "model_key": "qwen-9b-think500", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | pp512 | 61.32 \u00b1 1.61 |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | tg128 | 7.68 \u00b1 0.06 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 6773, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 9.449283921452828, "finish_reason": "length", "reasoning_chars": 234, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 4597, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 13.922123123776375, "finish_reason": "length", "reasoning_chars": 227, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 4632, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 13.816925734024181, "finish_reason": "length", "reasoning_chars": 217, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 4711, "prompt_tokens": 11, "completion_tokens": 64, "tokens_per_sec": 13.585226066652515, "finish_reason": "length", "reasoning_chars": 222, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 35949, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 14.242398954073828, "finish_reason": "length", "reasoning_chars": 2316, "content_chars": 46, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 33849, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 15.126000768117228, "finish_reason": "length", "reasoning_chars": 2069, "content_chars": 52, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 33586, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 15.244447091049842, "finish_reason": "length", "reasoning_chars": 2201, "content_chars": 47, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 33484, "prompt_tokens": 24, "completion_tokens": 512, "tokens_per_sec": 15.290885198900966, "finish_reason": "length", "reasoning_chars": 2182, "content_chars": 37, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 53568, "prompt_tokens": 32, "completion_tokens": 797, "tokens_per_sec": 14.878285543608126, "finish_reason": "stop", "reasoning_chars": 1998, "content_chars": 1300, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 51802, "prompt_tokens": 32, "completion_tokens": 774, "tokens_per_sec": 14.941508049882245, "finish_reason": "stop", "reasoning_chars": 1880, "content_chars": 1248, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 51829, "prompt_tokens": 32, "completion_tokens": 788, "tokens_per_sec": 15.203843408130583, "finish_reason": "stop", "reasoning_chars": 1960, "content_chars": 1250, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-think500", "model_key": "qwen-9b-think500", "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 50912, "prompt_tokens": 32, "completion_tokens": 780, "tokens_per_sec": 15.320553111250787, "finish_reason": "stop", "reasoning_chars": 1974, "content_chars": 1230, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "qwen-9b-nothink", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "raw": "5918, 112, 6144"}
|
||||
{"type": "llama_bench", "model_key": "qwen-9b-nothink", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | pp512 | 65.19 \u00b1 0.57 |\r\n| qwen35 9B Q4_K - Medium | 5.28 GiB | 8.95 B | CUDA | 99 | tg128 | 7.56 \u00b1 0.02 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 2372, "prompt_tokens": 22, "completion_tokens": 13, "tokens_per_sec": 5.480607082630692, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 32, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 1350, "prompt_tokens": 22, "completion_tokens": 13, "tokens_per_sec": 9.62962962962963, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 32, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 1436, "prompt_tokens": 22, "completion_tokens": 13, "tokens_per_sec": 9.052924791086351, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 32, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 1233, "prompt_tokens": 22, "completion_tokens": 12, "tokens_per_sec": 9.7323600973236, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 26, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 7338, "prompt_tokens": 35, "completion_tokens": 106, "tokens_per_sec": 14.445352957209048, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 521, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 8034, "prompt_tokens": 35, "completion_tokens": 116, "tokens_per_sec": 14.438635797859098, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 597, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-MEDIUM", "run_idx": 2, "phase": "warm", "total_duration_ms": 7062, "prompt_tokens": 35, "completion_tokens": 101, "tokens_per_sec": 14.301897479467572, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 552, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-MEDIUM", "run_idx": 3, "phase": "warm", "total_duration_ms": 6381, "prompt_tokens": 35, "completion_tokens": 90, "tokens_per_sec": 14.104372355430183, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 467, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-HARD", "run_idx": 0, "phase": "cold", "total_duration_ms": 20870, "prompt_tokens": 43, "completion_tokens": 308, "tokens_per_sec": 14.758025874460948, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 1405, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-HARD", "run_idx": 1, "phase": "warm", "total_duration_ms": 24820, "prompt_tokens": 43, "completion_tokens": 371, "tokens_per_sec": 14.947622884770347, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 1604, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-HARD", "run_idx": 2, "phase": "warm", "total_duration_ms": 23327, "prompt_tokens": 43, "completion_tokens": 348, "tokens_per_sec": 14.918334976636514, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 1515, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3.5:9b-q4km-nothink", "model_key": "qwen-9b-nothink", "prompt_id": "P-HARD", "run_idx": 3, "phase": "warm", "total_duration_ms": 20886, "prompt_tokens": 43, "completion_tokens": 310, "tokens_per_sec": 14.842478215072298, "finish_reason": "stop", "reasoning_chars": 0, "content_chars": 1360, "error": null}
|
||||
{"type": "vram_snapshot", "model_key": "qwen3-14b", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "raw": "5883, 147, 6144"}
|
||||
{"type": "llama_bench", "model_key": "qwen3-14b", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n| model | size | params | backend | ngl | test | t/s |\r\n| ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: |\r\n| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | CUDA | 99 | pp512 | 52.96 \u00b1 4.25 |\r\n| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | CUDA | 99 | tg128 | 0.86 \u00b1 0.00 |\r\n\r\nbuild: 665abc609 (8951)\r\n\r"}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "model_key": "qwen3-14b", "prompt_id": "hello", "run_idx": 0, "phase": "cold", "total_duration_ms": 98037, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 0.6528147536134317, "finish_reason": "length", "reasoning_chars": 279, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "model_key": "qwen3-14b", "prompt_id": "hello", "run_idx": 1, "phase": "warm", "total_duration_ms": 59855, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 1.0692506891654834, "finish_reason": "length", "reasoning_chars": 293, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "model_key": "qwen3-14b", "prompt_id": "hello", "run_idx": 2, "phase": "warm", "total_duration_ms": 58654, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 1.0911446789647765, "finish_reason": "length", "reasoning_chars": 276, "content_chars": 0, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "model_key": "qwen3-14b", "prompt_id": "hello", "run_idx": 3, "phase": "warm", "total_duration_ms": 58891, "prompt_tokens": 9, "completion_tokens": 64, "tokens_per_sec": 1.0867534937426773, "finish_reason": "length", "reasoning_chars": 222, "content_chars": 34, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "model_key": "qwen3-14b", "prompt_id": "P-MEDIUM", "run_idx": 0, "phase": "cold", "total_duration_ms": 299410, "prompt_tokens": 22, "completion_tokens": 342, "tokens_per_sec": 1.142246417955312, "finish_reason": "stop", "reasoning_chars": 1118, "content_chars": 618, "error": null}
|
||||
{"type": "call", "cell_id": "predator:llamacpp:qwen3:14b-q4km", "model_key": "qwen3-14b", "prompt_id": "P-MEDIUM", "run_idx": 1, "phase": "warm", "total_duration_ms": 210410, "prompt_tokens": 22, "completion_tokens": 280, "tokens_per_sec": 1.3307352312152465, "finish_reason": "stop", "reasoning_chars": 839, "content_chars": 554, "error": null}
|
||||
58
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/run.log
Normal file
58
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/run.log
Normal file
@@ -0,0 +1,58 @@
|
||||
[17:49:01Z] === predator-qwen-rerun run_id=fba9d9b1-cc5d-40bc-9e21-beafbb72c65d ===
|
||||
[17:49:01Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d.jsonl
|
||||
[17:49:01Z] On-device mirror: predator:D:\WeeyugaBench\runs\fba9d9b1-cc5d-40bc-9e21-beafbb72c65d\
|
||||
[17:49:01Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\fba9d9b1-cc5d-40bc-9e21-beafbb72c65d
|
||||
[17:49:07Z] >>> MODEL: qwen-9b-think500
|
||||
[17:49:07Z] Stopping llama-server on Predator...
|
||||
[17:49:12Z] Starting llama-server for qwen-9b-think500 with Qwen3.5-9B-Q4_K_M.gguf...
|
||||
[17:49:18Z] Waiting for llama-server (qwen-9b-think500) to come up...
|
||||
[17:49:37Z] llama-server up after 14s
|
||||
[17:49:39Z] Running llama-bench for qwen-9b-think500...
|
||||
[17:52:06Z] Running prompts for qwen-9b-think500 (cold + 3 warm per prompt)...
|
||||
[17:52:06Z] prompt=hello cold
|
||||
[17:52:13Z] prompt=hello warm 1
|
||||
[17:52:17Z] prompt=hello warm 2
|
||||
[17:52:22Z] prompt=hello warm 3
|
||||
[17:52:27Z] prompt=P-MEDIUM cold
|
||||
[17:53:03Z] prompt=P-MEDIUM warm 1
|
||||
[17:53:37Z] prompt=P-MEDIUM warm 2
|
||||
[17:54:11Z] prompt=P-MEDIUM warm 3
|
||||
[17:54:44Z] prompt=P-HARD cold
|
||||
[17:55:38Z] prompt=P-HARD warm 1
|
||||
[17:56:30Z] prompt=P-HARD warm 2
|
||||
[17:57:22Z] prompt=P-HARD warm 3
|
||||
[17:58:13Z] >>> MODEL: qwen-9b-nothink
|
||||
[17:58:13Z] Stopping llama-server on Predator...
|
||||
[17:58:18Z] Starting llama-server for qwen-9b-nothink with Qwen3.5-9B-Q4_K_M.gguf...
|
||||
[17:58:23Z] Waiting for llama-server (qwen-9b-nothink) to come up...
|
||||
[17:58:34Z] llama-server up after 8s
|
||||
[17:58:37Z] Running llama-bench for qwen-9b-nothink...
|
||||
[18:01:00Z] Running prompts for qwen-9b-nothink (cold + 3 warm per prompt)...
|
||||
[18:01:00Z] prompt=hello cold
|
||||
[18:01:03Z] prompt=hello warm 1
|
||||
[18:01:04Z] prompt=hello warm 2
|
||||
[18:01:06Z] prompt=hello warm 3
|
||||
[18:01:07Z] prompt=P-MEDIUM cold
|
||||
[18:01:15Z] prompt=P-MEDIUM warm 1
|
||||
[18:01:23Z] prompt=P-MEDIUM warm 2
|
||||
[18:01:30Z] prompt=P-MEDIUM warm 3
|
||||
[18:01:36Z] prompt=P-HARD cold
|
||||
[18:01:57Z] prompt=P-HARD warm 1
|
||||
[18:02:22Z] prompt=P-HARD warm 2
|
||||
[18:02:46Z] prompt=P-HARD warm 3
|
||||
[18:03:07Z] Checking 14B GGUF availability...
|
||||
[18:03:08Z] 14B GGUF ready: 8.38 GB
|
||||
[18:03:08Z] >>> MODEL: qwen3-14b
|
||||
[18:03:08Z] Stopping llama-server on Predator...
|
||||
[18:03:11Z] Starting llama-server for qwen3-14b with Qwen3-14B-Q4_K_M.gguf...
|
||||
[18:03:14Z] Waiting for llama-server (qwen3-14b) to come up...
|
||||
[18:04:44Z] llama-server up after 75s
|
||||
[18:04:45Z] Running llama-bench for qwen3-14b...
|
||||
[18:23:25Z] Running prompts for qwen3-14b (cold + 3 warm per prompt)...
|
||||
[18:23:25Z] prompt=hello cold
|
||||
[18:25:03Z] prompt=hello warm 1
|
||||
[18:26:03Z] prompt=hello warm 2
|
||||
[18:27:02Z] prompt=hello warm 3
|
||||
[18:28:01Z] prompt=P-MEDIUM cold
|
||||
[18:33:00Z] prompt=P-MEDIUM warm 1
|
||||
[18:36:31Z] prompt=P-MEDIUM warm 2
|
||||
55
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/run.md
Normal file
55
runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/run.md
Normal file
@@ -0,0 +1,55 @@
|
||||
# Predator Qwen rerun — fba9d9b1-cc5d-40bc-9e21-beafbb72c65d
|
||||
|
||||
- Started: 2026-05-04T17:49:07Z
|
||||
- Driver host: Slobodans-MacBook-Air.local
|
||||
- Node: predator (http://10.8.0.7:11436)
|
||||
- Engine: llamacpp
|
||||
- Harness: predator-qwen-rerun-1
|
||||
- Purpose: Sloba's follow-up to trio-bench: budget-capped thinking, thinking-off comparison, 14B-on-6GB-GPU feasibility test
|
||||
|
||||
## Configurations
|
||||
|
||||
| Key | Cell | GGUF | Reasoning budget | Sampling | System prompt |
|
||||
|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | `predator:llamacpp:qwen3.5:9b-q4km-think500` | `Qwen3.5-9B-Q4_K_M.gguf` | 500 | T=1.0 top_p=0.95 top_k=20 (thinking-mode) | — |
|
||||
| qwen-9b-nothink | `predator:llamacpp:qwen3.5:9b-q4km-nothink` | `Qwen3.5-9B-Q4_K_M.gguf` | 0 | T=0.7 top_p=0.8 top_k=20 (instruct-mode) | Answer directly without showing reasoning. |
|
||||
| qwen3-14b | `predator:llamacpp:qwen3:14b-q4km` | `Qwen3-14B-Q4_K_M.gguf` | 1024 | T=0.7 top_p=0.8 top_k=20 (Qwen3 default) | — |
|
||||
|
||||
## llama-bench synthetic throughput (pp512 + tg128)
|
||||
|
||||
| Cell | pp512 (t/s) | tg128 (t/s) |
|
||||
|---|---|---|
|
||||
| qwen-9b-think500 | 61.32 | 7.68 |
|
||||
| qwen-9b-nothink | 65.19 | 7.56 |
|
||||
| qwen3-14b | 52.96 | 0.86 |
|
||||
|
||||
## VRAM snapshot (used / free / total MB, post-load)
|
||||
|
||||
| Cell | Used | Free | Total |
|
||||
|---|---|---|---|
|
||||
| qwen-9b-think500 | 5887 | 143 | 6144 |
|
||||
| qwen-9b-nothink | 5918 | 112 | 6144 |
|
||||
| qwen3-14b | 5883 | 147 | 6144 |
|
||||
|
||||
## Per-prompt latency, throughput, and thinking-vs-answer split
|
||||
|
||||
| Cell | Prompt | Cold dur (ms) | Cold tok/s | Warm tok/s mean | Warm dur p50 (ms) | Reasoning chars (warm mean) | Answer chars (warm mean) | Errors |
|
||||
|---|---|---|---|---|---|---|---|---|
|
||||
| qwen-9b-think500 | hello | 6773 | 9.4 | 13.8 | 4632 | 222 | 0 | 0 |
|
||||
| qwen-9b-think500 | P-MEDIUM | 35949 | 14.2 | 15.2 | 33586 | 2151 | 45 | 0 |
|
||||
| qwen-9b-think500 | P-HARD | 53568 | 14.9 | 15.2 | 51802 | 1938 | 1243 | 0 |
|
||||
| qwen-9b-nothink | hello | 2372 | 5.5 | 9.5 | 1350 | 0 | 30 | 0 |
|
||||
| qwen-9b-nothink | P-MEDIUM | 7338 | 14.4 | 14.3 | 7062 | 0 | 539 | 0 |
|
||||
| qwen-9b-nothink | P-HARD | 20870 | 14.8 | 14.9 | 23327 | 0 | 1493 | 0 |
|
||||
| qwen3-14b | hello | 98037 | 0.7 | 1.1 | 58891 | 264 | 11 | 0 |
|
||||
| qwen3-14b | P-MEDIUM | 299410 | 1.1 | 1.3 | 210410 | 839 | 554 | 0 |
|
||||
| qwen3-14b | P-HARD | — | — | — | — | — | — | 0 |
|
||||
|
||||
## Notes
|
||||
|
||||
- `Reasoning chars` is `len(message.reasoning_content)` from llama.cpp's response;
|
||||
`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.
|
||||
- For `qwen-9b-nothink`, expectation is `Reasoning chars` ≈ 0 (budget=0 + system instruction).
|
||||
- For `qwen-9b-think500`, expectation is `Reasoning chars` materially smaller than the trio-bench's ~1024-budget run; the cap should bound the worst-case.
|
||||
- For `qwen3-14b` on a 6 GB GTX 1060 with an 8.4 GB Q4_K_M GGUF: partial CPU offload kicks
|
||||
in at load time; throughput will be 30-50% of the 9B run.
|
||||
84
runs/fe4fa289-67a9-48e8-8a80-d5d88c875208/metadata.json
Normal file
84
runs/fe4fa289-67a9-48e8-8a80-d5d88c875208/metadata.json
Normal file
@@ -0,0 +1,84 @@
|
||||
{
|
||||
"id": "fe4fa289-67a9-48e8-8a80-d5d88c875208",
|
||||
"title": "predator-a3b-1 \u2014 qwen3 on predator",
|
||||
"date": "2026-05-04",
|
||||
"hardware": "predator",
|
||||
"engine": "llamacpp",
|
||||
"harness": "predator-a3b-1",
|
||||
"model_family": "qwen3",
|
||||
"model_sizes": [
|
||||
"qwen3:30b-a3b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "2 calls across 1 cell(s)",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/fe4fa289-67a9-48e8-8a80-d5d88c875208.jsonl",
|
||||
"log_path": "runs/fe4fa289-67a9-48e8-8a80-d5d88c875208.log",
|
||||
"synthesis_doc": null,
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500",
|
||||
"n_calls": 2,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 2,
|
||||
"n_errors_total": 0,
|
||||
"started_at": "2026-05-04T18:50:19Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"predator",
|
||||
"qwen3"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500",
|
||||
"n_calls": 2,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": [
|
||||
{
|
||||
"type": "vram_snapshot",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500",
|
||||
"raw": "5787, 243, 6144"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
"model_key": "qwen3-30b-a3b",
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500",
|
||||
"raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n\r"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"meta_record": {
|
||||
"type": "meta",
|
||||
"benchmark_run_id": "fe4fa289-67a9-48e8-8a80-d5d88c875208",
|
||||
"harness_version": "predator-a3b-1",
|
||||
"started_at_utc": "2026-05-04T18:50:19Z",
|
||||
"host": "Slobodans-MacBook-Air.local",
|
||||
"node": "predator",
|
||||
"engine": "llamacpp",
|
||||
"predator_target_url": "http://10.8.0.7:11436",
|
||||
"purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500",
|
||||
"models": {
|
||||
"qwen3-30b-a3b": {
|
||||
"cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500",
|
||||
"gguf": "Qwen3-30B-A3B-Q4_K_M.gguf",
|
||||
"reasoning_budget": 500,
|
||||
"note": "30B total / 3B active MoE; 17.7GB Q4_K_M; partial CPU offload via mmap"
|
||||
}
|
||||
}
|
||||
},
|
||||
"packaged_at": "2026-05-05T17:43:34Z"
|
||||
}
|
||||
3
runs/fe4fa289-67a9-48e8-8a80-d5d88c875208/run.jsonl
Normal file
3
runs/fe4fa289-67a9-48e8-8a80-d5d88c875208/run.jsonl
Normal file
@@ -0,0 +1,3 @@
|
||||
{"type": "meta", "benchmark_run_id": "fe4fa289-67a9-48e8-8a80-d5d88c875208", "harness_version": "predator-a3b-1", "started_at_utc": "2026-05-04T18:50:19Z", "host": "Slobodans-MacBook-Air.local", "node": "predator", "engine": "llamacpp", "predator_target_url": "http://10.8.0.7:11436", "purpose": "Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500", "models": {"qwen3-30b-a3b": {"cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500", "gguf": "Qwen3-30B-A3B-Q4_K_M.gguf", "reasoning_budget": 500, "note": "30B total / 3B active MoE; 17.7GB Q4_K_M; partial CPU offload via mmap"}}}
|
||||
{"type": "vram_snapshot", "model_key": "qwen3-30b-a3b", "cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500", "raw": "5787, 243, 6144"}
|
||||
{"type": "llama_bench", "model_key": "qwen3-30b-a3b", "cell_id": "predator:llamacpp:qwen3:30b-a3b-q4km-think500", "raw": "llama-bench.exe : ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):\r\nAt line:1 char:1\r\n+ & 'D:\\WeeyugaTools\\llama.cpp\\llama-bench.exe' -m 'D:\\WeeyugaModels\\ll ...\r\n+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\r\n + CategoryInfo : NotSpecified: (ggml_cuda_init:...RAM: 6143 MiB)::String) [], RemoteException\r\n + FullyQualifiedErrorId : NativeCommandError\r\n \r\n Device 0: NVIDIA GeForce GTX 1060, compute capability 6.1, VMM: yes, VRAM: 6143 MiB\r\nload_backend: loaded CUDA backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cuda.dll\r\nload_backend: loaded RPC backend from D:\\WeeyugaTools\\llama.cpp\\ggml-rpc.dll\r\nload_backend: loaded CPU backend from D:\\WeeyugaTools\\llama.cpp\\ggml-cpu-haswell.dll\r\n\r"}
|
||||
69
runs/fe4fa289-67a9-48e8-8a80-d5d88c875208/run.log
Normal file
69
runs/fe4fa289-67a9-48e8-8a80-d5d88c875208/run.log
Normal file
@@ -0,0 +1,69 @@
|
||||
[18:50:12Z] === predator-a3b-bench run_id=fe4fa289-67a9-48e8-8a80-d5d88c875208 ===
|
||||
[18:50:12Z] Output: /Users/slobodan/projects/WeeyugaWeb/docs/BENCHMARKS/runs/fe4fa289-67a9-48e8-8a80-d5d88c875208.jsonl
|
||||
[18:50:12Z] Creating run-mirror dir on Predator: D:\WeeyugaBench\runs\fe4fa289-67a9-48e8-8a80-d5d88c875208
|
||||
[18:50:19Z] Polling for Qwen3-30B-A3B-Q4_K_M.gguf on Predator (download in progress)...
|
||||
[18:50:22Z] download progress: 0.72 GB (poll 1/60)
|
||||
[18:50:55Z] download progress: 0.98 GB (poll 2/60)
|
||||
[18:51:27Z] download progress: 1.24 GB (poll 3/60)
|
||||
[18:52:02Z] download progress: 1.47 GB (poll 4/60)
|
||||
[18:52:34Z] download progress: 1.69 GB (poll 5/60)
|
||||
[18:53:06Z] download progress: 1.92 GB (poll 6/60)
|
||||
[18:53:39Z] download progress: 2.19 GB (poll 7/60)
|
||||
[18:54:12Z] download progress: 2.5 GB (poll 8/60)
|
||||
[18:54:46Z] download progress: 2.83 GB (poll 9/60)
|
||||
[18:55:19Z] download progress: 3.11 GB (poll 10/60)
|
||||
[18:55:53Z] download progress: 3.39 GB (poll 11/60)
|
||||
[18:56:26Z] download progress: 3.68 GB (poll 12/60)
|
||||
[18:56:58Z] download progress: 3.97 GB (poll 13/60)
|
||||
[18:57:30Z] download progress: 4.26 GB (poll 14/60)
|
||||
[18:58:03Z] download progress: 4.57 GB (poll 15/60)
|
||||
[18:58:35Z] download progress: 4.89 GB (poll 16/60)
|
||||
[18:59:09Z] download progress: 5.21 GB (poll 17/60)
|
||||
[18:59:42Z] download progress: 5.51 GB (poll 18/60)
|
||||
[19:00:15Z] download progress: 5.82 GB (poll 19/60)
|
||||
[19:00:48Z] download progress: 6.01 GB (poll 20/60)
|
||||
[19:01:21Z] download progress: 6.24 GB (poll 21/60)
|
||||
[19:01:54Z] download progress: 6.57 GB (poll 22/60)
|
||||
[19:02:27Z] download progress: 6.9 GB (poll 23/60)
|
||||
[19:03:00Z] download progress: 7.23 GB (poll 24/60)
|
||||
[19:03:33Z] download progress: 7.56 GB (poll 25/60)
|
||||
[19:04:06Z] download progress: 7.88 GB (poll 26/60)
|
||||
[19:04:40Z] download progress: 8.18 GB (poll 27/60)
|
||||
[19:05:12Z] download progress: 8.5 GB (poll 28/60)
|
||||
[19:05:45Z] download progress: 8.83 GB (poll 29/60)
|
||||
[19:06:18Z] download progress: 9.17 GB (poll 30/60)
|
||||
[19:06:51Z] download progress: 9.48 GB (poll 31/60)
|
||||
[19:07:25Z] download progress: 9.69 GB (poll 32/60)
|
||||
[19:07:58Z] download progress: 9.94 GB (poll 33/60)
|
||||
[19:08:30Z] download progress: 10.22 GB (poll 34/60)
|
||||
[19:09:03Z] download progress: 10.53 GB (poll 35/60)
|
||||
[19:09:35Z] download progress: 10.75 GB (poll 36/60)
|
||||
[19:10:08Z] download progress: 11.05 GB (poll 37/60)
|
||||
[19:10:40Z] download progress: 11.33 GB (poll 38/60)
|
||||
[19:11:12Z] download progress: 11.55 GB (poll 39/60)
|
||||
[19:11:45Z] download progress: 11.86 GB (poll 40/60)
|
||||
[19:12:19Z] download progress: 12.17 GB (poll 41/60)
|
||||
[19:12:52Z] download progress: 12.45 GB (poll 42/60)
|
||||
[19:13:26Z] download progress: 12.78 GB (poll 43/60)
|
||||
[19:13:59Z] download progress: 13.03 GB (poll 44/60)
|
||||
[19:14:32Z] download progress: 13.28 GB (poll 45/60)
|
||||
[19:15:06Z] download progress: 13.59 GB (poll 46/60)
|
||||
[19:15:39Z] download progress: 13.89 GB (poll 47/60)
|
||||
[19:16:12Z] download progress: 14.2 GB (poll 48/60)
|
||||
[19:16:45Z] download progress: 14.5 GB (poll 49/60)
|
||||
[19:17:18Z] download progress: 14.75 GB (poll 50/60)
|
||||
[19:17:51Z] download progress: 15.07 GB (poll 51/60)
|
||||
[19:18:24Z] download progress: 15.38 GB (poll 52/60)
|
||||
[19:18:55Z] download progress: 15.68 GB (poll 53/60)
|
||||
[19:19:28Z] download progress: 16 GB (poll 54/60)
|
||||
[19:20:04Z] download progress: 16.28 GB (poll 55/60)
|
||||
[19:20:37Z] download progress: 16.55 GB (poll 56/60)
|
||||
[19:21:10Z] download progress: 16.85 GB (poll 57/60)
|
||||
[19:21:43Z] GGUF ready: 17.15 GB
|
||||
[19:21:43Z] Stopping llama-server on Predator...
|
||||
[19:21:47Z] Starting llama-server with Qwen3-30B-A3B-Q4_K_M.gguf (this is the slow one — 17.7 GB to mmap, lots of layer probes)...
|
||||
[19:21:53Z] Waiting for llama-server to come up (give it up to 6 min — 30B mmap from disk is slow)...
|
||||
[19:26:49Z] llama-server up after 193s
|
||||
[19:26:50Z] Running llama-bench (this also takes much longer for 30B; budget ~10-15 min)...
|
||||
[19:47:01Z] Running prompts (cold + 3 warm per prompt; 30B + thinking will be slow on P-HARD)...
|
||||
[19:47:01Z] prompt=hello cold
|
||||
850
runs/ff1131ca-d021-4e06-8616-4b4cdb54e97e/metadata.json
Normal file
850
runs/ff1131ca-d021-4e06-8616-4b4cdb54e97e/metadata.json
Normal file
@@ -0,0 +1,850 @@
|
||||
{
|
||||
"id": "ff1131ca-d021-4e06-8616-4b4cdb54e97e",
|
||||
"title": "pavilion-weeyuga-v1 \u2014 qwen2.5/qwen2.5-coder/qwen3/qwen3.5 on pavilion",
|
||||
"date": "2026-04-28",
|
||||
"hardware": "pavilion",
|
||||
"engine": "weeyuga",
|
||||
"harness": "pavilion-weeyuga-v1",
|
||||
"model_family": "qwen2.5/qwen2.5-coder/qwen3/qwen3.5",
|
||||
"model_sizes": [
|
||||
"qwen3.5:4b",
|
||||
"qwen3.5:35b-a3b-uncensored-iq1m",
|
||||
"qwen3.5:35b-a3b-iq2s",
|
||||
"qwen3.5:9b-q6k",
|
||||
"qwen3.5:9b",
|
||||
"qwen3.5:2b",
|
||||
"qwen3.5:0.8b",
|
||||
"qwen2.5-coder:14b",
|
||||
"qwen2.5-coder:3b",
|
||||
"qwen3:14b",
|
||||
"qwen3:8b",
|
||||
"qwen3:4b",
|
||||
"qwen2.5:3b",
|
||||
"qwen2.5-coder:1.5b",
|
||||
"qwen2.5-coder:0.5b"
|
||||
],
|
||||
"task_kind": null,
|
||||
"headline": "17 calls across 16 cell(s); 3 errors",
|
||||
"summary_md_path": null,
|
||||
"raw_jsonl_path": "runs/ff1131ca-d021-4e06-8616-4b4cdb54e97e.jsonl",
|
||||
"log_path": null,
|
||||
"synthesis_doc": "PAVILION_WEEYUGA_v1.md",
|
||||
"cells": [
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:4b",
|
||||
"n_calls": 2,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:2b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:0.8b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:9b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen2.5-coder:14b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 1,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen2.5-coder:3b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3:14b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 1,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3:8b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 1,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3:4b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen2.5:3b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null
|
||||
}
|
||||
],
|
||||
"n_calls_total": 17,
|
||||
"n_errors_total": 3,
|
||||
"started_at": "2026-04-28T21:03:46Z",
|
||||
"tags": [
|
||||
"a3b",
|
||||
"iq2",
|
||||
"pavilion",
|
||||
"qwen2.5",
|
||||
"qwen3",
|
||||
"qwen3.5",
|
||||
"weeyuga"
|
||||
],
|
||||
"status": "complete",
|
||||
"visibility": "draft",
|
||||
"cells_full": [
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:4b",
|
||||
"n_calls": 2,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": [
|
||||
{
|
||||
"type": "call",
|
||||
"ts_utc": "2026-04-28T21:03:50Z",
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:4b",
|
||||
"model": "qwen3.5:4b",
|
||||
"phase": "hello",
|
||||
"question_id": "hello_check",
|
||||
"run_idx": 0,
|
||||
"duration_seconds": 4.039,
|
||||
"prompt_tokens": 16,
|
||||
"completion_tokens": 128,
|
||||
"tokens_per_second": 31.69,
|
||||
"finish_reason": "stop",
|
||||
"weeyuga_meta": null,
|
||||
"status_code": 200,
|
||||
"response_chars": 57,
|
||||
"response_preview": "Hello! I'm glad to help you. What would you like to do? \ud83d\ude0a",
|
||||
"required_markers": [],
|
||||
"markers_hit": [],
|
||||
"marker_hit_rate": null,
|
||||
"format_rule": "",
|
||||
"format_ok": null,
|
||||
"usable_answer": true,
|
||||
"error": null
|
||||
},
|
||||
{
|
||||
"type": "call",
|
||||
"ts_utc": "2026-04-28T21:33:26Z",
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:4b",
|
||||
"model": "qwen3.5:4b",
|
||||
"phase": "5q",
|
||||
"question_id": "disk_guard_bash",
|
||||
"run_idx": 0,
|
||||
"duration_seconds": 32.117,
|
||||
"prompt_tokens": 71,
|
||||
"completion_tokens": 1125,
|
||||
"tokens_per_second": 35.03,
|
||||
"finish_reason": "stop",
|
||||
"weeyuga_meta": null,
|
||||
"status_code": 200,
|
||||
"response_chars": 247,
|
||||
"response_preview": "#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n disk_usage=$(df -P / | awk '{print $5}')\n if [ \"$disk_usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${disk_usage}% (above 85%)\"\n exit 1\n fi\nfi\n",
|
||||
"required_markers": [
|
||||
"#!/usr/bin/env bash",
|
||||
"df -P /",
|
||||
"85",
|
||||
"exit 1"
|
||||
],
|
||||
"markers_hit": [
|
||||
"df -P /",
|
||||
"85",
|
||||
"exit 1"
|
||||
],
|
||||
"marker_hit_rate": 0.75,
|
||||
"format_rule": "bash_code",
|
||||
"format_ok": false,
|
||||
"usable_answer": true,
|
||||
"error": null
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": [
|
||||
{
|
||||
"type": "call",
|
||||
"ts_utc": "2026-04-28T21:03:56Z",
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m",
|
||||
"model": "qwen3.5:35b-a3b-uncensored-iq1m",
|
||||
"phase": "hello",
|
||||
"question_id": "hello_check",
|
||||
"run_idx": 0,
|
||||
"duration_seconds": 5.989,
|
||||
"prompt_tokens": 16,
|
||||
"completion_tokens": 226,
|
||||
"tokens_per_second": 37.74,
|
||||
"finish_reason": "stop",
|
||||
"weeyuga_meta": null,
|
||||
"status_code": 200,
|
||||
"response_chars": 91,
|
||||
"response_preview": "Hello! I'd be happy to help you with anything you need. What can I assist you with today? \ud83d\ude0a",
|
||||
"required_markers": [],
|
||||
"markers_hit": [],
|
||||
"marker_hit_rate": null,
|
||||
"format_rule": "",
|
||||
"format_ok": null,
|
||||
"usable_answer": true,
|
||||
"error": null
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s",
|
||||
"n_calls": 1,
|
||||
"n_errors": 0,
|
||||
"duration_ms_mean": null,
|
||||
"duration_ms_p50": null,
|
||||
"tokens_per_sec_mean": null,
|
||||
"tokens_per_sec_max": null,
|
||||
"calls": [
|
||||
{
|
||||
"type": "call",
|
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|
||||
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||||
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||||
"usable_answer": true,
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||||
"error": null
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b",
|
||||
"n_calls": 1,
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||||
"n_errors": 0,
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||||
"duration_ms_mean": null,
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||||
"duration_ms_p50": null,
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||||
"tokens_per_sec_mean": null,
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||||
"tokens_per_sec_max": null,
|
||||
"calls": [
|
||||
{
|
||||
"type": "call",
|
||||
"ts_utc": "2026-04-28T21:32:53Z",
|
||||
"cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b",
|
||||
"model": "qwen2.5-coder:0.5b",
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||||
"phase": "hello",
|
||||
"question_id": "hello_check",
|
||||
"run_idx": 0,
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||||
"duration_seconds": 13.367,
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||||
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"tokens_per_second": 0.82,
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||||
"finish_reason": "stop",
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||||
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||||
"status_code": 200,
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"response_chars": 38,
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||||
"response_preview": "Of course! How can I assist you today?",
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||||
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||||
]
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||||
}
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||||
],
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||||
"meta_record": {
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||||
"type": "meta",
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||||
"benchmark_run_id": "ff1131ca-d021-4e06-8616-4b4cdb54e97e",
|
||||
"harness_version": "1",
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||||
"harness_path": "scripts/benchmarks/run_pavilion_weeyuga.py",
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||||
"git_sha": "9934892784228748586130d8abbacd82a919aee2",
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||||
"git_dirty": true,
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"started_at_utc": "2026-04-28T21:03:46Z",
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"host": "Slobodans-MacBook-Air.local",
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"load_avg_start": [
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||||
2.5576171875,
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||||
2.47900390625,
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||||
2.16552734375
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||||
],
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||||
"weeyuga_url": "http://10.8.0.3:11435",
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||||
"phase_plan": "hello+5q",
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||||
"models_planned": [
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||||
"qwen3.5:4b",
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||||
"qwen3.5:35b-a3b-uncensored-iq1m",
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||||
"qwen3.5:35b-a3b-iq2s",
|
||||
"qwen3.5:9b-q6k",
|
||||
"qwen3.5:9b-q4km",
|
||||
"qwen3.5:2b",
|
||||
"qwen3.5:0.8b",
|
||||
"qwen3.5:9b",
|
||||
"qwen2.5-coder:14b",
|
||||
"qwen2.5-coder:3b",
|
||||
"qwen3:14b",
|
||||
"qwen3:8b",
|
||||
"qwen3:4b",
|
||||
"qwen2.5:3b",
|
||||
"qwen2.5-coder:1.5b",
|
||||
"qwen2.5-coder:0.5b"
|
||||
],
|
||||
"canonical_options": {
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||||
"temperature": 0.1,
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||||
"num_ctx": 4096,
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||||
"num_predict": 2048
|
||||
},
|
||||
"timeout_seconds": 360,
|
||||
"suite_5q_path": "/Users/slobodan/Documents/MyServers/instances/vps-81-17-99-14/telemetry/small_model_eval_questions.json",
|
||||
"suite_20q_path": "/Users/slobodan/Documents/MyServers/instances/vps-81-17-99-14/telemetry/python_task_suite_questions.json",
|
||||
"env_inference_route": null,
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"env_llamacpp_url": null
|
||||
},
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||||
"packaged_at": "2026-05-05T17:43:34Z"
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||||
}
|
||||
18
runs/ff1131ca-d021-4e06-8616-4b4cdb54e97e/run.jsonl
Normal file
18
runs/ff1131ca-d021-4e06-8616-4b4cdb54e97e/run.jsonl
Normal file
@@ -0,0 +1,18 @@
|
||||
{"type": "meta", "benchmark_run_id": "ff1131ca-d021-4e06-8616-4b4cdb54e97e", "harness_version": "1", "harness_path": "scripts/benchmarks/run_pavilion_weeyuga.py", "git_sha": "9934892784228748586130d8abbacd82a919aee2", "git_dirty": true, "started_at_utc": "2026-04-28T21:03:46Z", "host": "Slobodans-MacBook-Air.local", "load_avg_start": [2.5576171875, 2.47900390625, 2.16552734375], "weeyuga_url": "http://10.8.0.3:11435", "phase_plan": "hello+5q", "models_planned": ["qwen3.5:4b", "qwen3.5:35b-a3b-uncensored-iq1m", "qwen3.5:35b-a3b-iq2s", "qwen3.5:9b-q6k", "qwen3.5:9b-q4km", "qwen3.5:2b", "qwen3.5:0.8b", "qwen3.5:9b", "qwen2.5-coder:14b", "qwen2.5-coder:3b", "qwen3:14b", "qwen3:8b", "qwen3:4b", "qwen2.5:3b", "qwen2.5-coder:1.5b", "qwen2.5-coder:0.5b"], "canonical_options": {"temperature": 0.1, "num_ctx": 4096, "num_predict": 2048}, "timeout_seconds": 360, "suite_5q_path": "/Users/slobodan/Documents/MyServers/instances/vps-81-17-99-14/telemetry/small_model_eval_questions.json", "suite_20q_path": "/Users/slobodan/Documents/MyServers/instances/vps-81-17-99-14/telemetry/python_task_suite_questions.json", "env_inference_route": null, "env_llamacpp_url": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:03:50Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 4.039, "prompt_tokens": 16, "completion_tokens": 128, "tokens_per_second": 31.69, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 57, "response_preview": "Hello! I'm glad to help you. What would you like to do? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:03:56Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-uncensored-iq1m", "model": "qwen3.5:35b-a3b-uncensored-iq1m", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 5.989, "prompt_tokens": 16, "completion_tokens": 226, "tokens_per_second": 37.74, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 91, "response_preview": "Hello! I'd be happy to help you with anything you need. What can I assist you with today? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:04:00Z", "cell_id": "pavilion:weeyuga:qwen3.5:35b-a3b-iq2s", "model": "qwen3.5:35b-a3b-iq2s", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 4.033, "prompt_tokens": 16, "completion_tokens": 126, "tokens_per_second": 31.24, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 57, "response_preview": "Hello! I'd love to help you. What would you like to do? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:04:03Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q6k", "model": "qwen3.5:9b-q6k", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 3.754, "prompt_tokens": 16, "completion_tokens": 139, "tokens_per_second": 37.03, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 159, "response_preview": "Hello! I'd love to help you. What would you like to work on today? Whether it's writing, coding, problem-solving, or just chatting, feel free to let me know! 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:04:07Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b-q4km", "model": "qwen3.5:9b-q4km", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 3.684, "prompt_tokens": 16, "completion_tokens": 143, "tokens_per_second": 38.82, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 61, "response_preview": "Hello! I'd be happy to help you. What would you like to do? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:04:12Z", "cell_id": "pavilion:weeyuga:qwen3.5:2b", "model": "qwen3.5:2b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 4.749, "prompt_tokens": 16, "completion_tokens": 180, "tokens_per_second": 37.9, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 187, "response_preview": "Hello! I'd love to help you. What would you like to work on today? Whether it's learning a new skill, solving a problem, brainstorming ideas, or just chatting, feel free to let me know! 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:04:15Z", "cell_id": "pavilion:weeyuga:qwen3.5:0.8b", "model": "qwen3.5:0.8b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 3.479, "prompt_tokens": 16, "completion_tokens": 133, "tokens_per_second": 38.23, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 63, "response_preview": "Hello! I'd love to help you. What would you like to do today? 😊", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:04:42Z", "cell_id": "pavilion:weeyuga:qwen3.5:9b", "model": "qwen3.5:9b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 26.517, "prompt_tokens": 16, "completion_tokens": 1081, "tokens_per_second": 40.77, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 179, "response_preview": "Hi! I'd be happy to help you. What would you like to do today? I can assist with a wide range of tasks, from writing code to answering questions. Please let me know what you need.", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:10:42Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:14b", "model": "qwen2.5-coder:14b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 360.061, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:15:12Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:3b", "model": "qwen2.5-coder:3b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 269.603, "prompt_tokens": 35, "completion_tokens": 17, "tokens_per_second": 0.06, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 62, "response_preview": "Of course! I'm here to help. What do you need assistance with?", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:21:12Z", "cell_id": "pavilion:weeyuga:qwen3:14b", "model": "qwen3:14b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 360.083, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:27:12Z", "cell_id": "pavilion:weeyuga:qwen3:8b", "model": "qwen3:8b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 360.084, "prompt_tokens": null, "completion_tokens": null, "tokens_per_second": null, "finish_reason": null, "weeyuga_meta": null, "status_code": null, "response_chars": 0, "response_preview": "", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": false, "error": "TimeoutError('timed out')"}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:31:48Z", "cell_id": "pavilion:weeyuga:qwen3:4b", "model": "qwen3:4b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 276.449, "prompt_tokens": 16, "completion_tokens": 457, "tokens_per_second": 1.65, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 502, "response_preview": "Of course! 😊 I'm here to help with **anything** you need — whether it's homework, tech issues, writing, math, science, life advice, or just brainstorming ideas. \n\n**Just tell me:** \n- What’s *specifically* on your mind? \n- What’s stuck? ", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:32:19Z", "cell_id": "pavilion:weeyuga:qwen2.5:3b", "model": "qwen2.5:3b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 31.33, "prompt_tokens": 35, "completion_tokens": 50, "tokens_per_second": 1.6, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 208, "response_preview": "Of course! I'd be happy to help. What can I assist you with today? Whether it's information on cloud computing services, general advice, or any other query, feel free to ask and I'll do my best to assist you.", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:32:40Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:1.5b", "model": "qwen2.5-coder:1.5b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 20.572, "prompt_tokens": 35, "completion_tokens": 11, "tokens_per_second": 0.53, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 38, "response_preview": "Of course! How may I assist you today?", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:32:53Z", "cell_id": "pavilion:weeyuga:qwen2.5-coder:0.5b", "model": "qwen2.5-coder:0.5b", "phase": "hello", "question_id": "hello_check", "run_idx": 0, "duration_seconds": 13.367, "prompt_tokens": 35, "completion_tokens": 11, "tokens_per_second": 0.82, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 38, "response_preview": "Of course! How can I assist you today?", "required_markers": [], "markers_hit": [], "marker_hit_rate": null, "format_rule": "", "format_ok": null, "usable_answer": true, "error": null}
|
||||
{"type": "call", "ts_utc": "2026-04-28T21:33:26Z", "cell_id": "pavilion:weeyuga:qwen3.5:4b", "model": "qwen3.5:4b", "phase": "5q", "question_id": "disk_guard_bash", "run_idx": 0, "duration_seconds": 32.117, "prompt_tokens": 71, "completion_tokens": 1125, "tokens_per_second": 35.03, "finish_reason": "stop", "weeyuga_meta": null, "status_code": 200, "response_chars": 247, "response_preview": "#!/bin/bash\n\n# Check disk usage for /\nif [ -d \"/\" ]; then\n disk_usage=$(df -P / | awk '{print $5}')\n if [ \"$disk_usage\" -gt 85 ]; then\n echo \"WARNING: Disk usage for / is at ${disk_usage}% (above 85%)\"\n exit 1\n fi\nfi\n", "required_markers": ["#!/usr/bin/env bash", "df -P /", "85", "exit 1"], "markers_hit": ["df -P /", "85", "exit 1"], "marker_hit_rate": 0.75, "format_rule": "bash_code", "format_ok": false, "usable_answer": true, "error": null}
|
||||
Reference in New Issue
Block a user