Files
weeyuga-benchmarks-public/runs/fba9d9b1-cc5d-40bc-9e21-beafbb72c65d/run.md
slobodanmargetic988 a18db6a3da 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>
2026-05-05 19:46:01 +02:00

2.8 KiB

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.