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>
This commit is contained in:
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runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/metadata.json
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runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/metadata.json
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{
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"id": "5fb2913d-6500-4ecf-9e97-d43f7dd61145",
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"title": "Predator Qwen rerun \u2014 5fb2913d-6500-4ecf-9e97-d43f7dd61145",
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"date": "2026-05-04",
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"hardware": "predator",
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"qwen3:30b-a3b-iq2m"
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],
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"task_kind": null,
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"headline": "`Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs.",
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"summary_md_path": "runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145.md",
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],
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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| 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"
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}
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}
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}
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runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.jsonl
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runs/5fb2913d-6500-4ecf-9e97-d43f7dd61145/run.jsonl
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@@ -0,0 +1,15 @@
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{"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"}}}
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{"type": "vram_snapshot", "model_key": "qwen3-30b-a3b", "cell_id": "predator:llamacpp:qwen3:30b-a3b-iq2m-think500", "raw": "5849, 181, 6144"}
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{"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"}
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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, "finish_reason": "stop", "reasoning_chars": 193, "content_chars": 37, "error": null}
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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, "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.
|
||||
Reference in New Issue
Block a user