slobodanmargetic988
a18db6a3da
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>
16 lines
6.4 KiB
JSON
16 lines
6.4 KiB
JSON
{"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": 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}
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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}
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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": 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}
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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": 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}
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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": 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}
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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": 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}
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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", "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}
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{"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}
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{"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}
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{"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}
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{"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}
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