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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runs/09d8fbde-0008-49bb-99da-03eeaca72be1/metadata.json
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"title": "Predator trio bench \u2014 09d8fbde-0008-49bb-99da-03eeaca72be1",
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||||
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||||
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||||
{
|
||||
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|
||||
"n_calls": 14,
|
||||
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||||
"duration_ms_mean": 37136.33,
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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": "qwen",
|
||||
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|
||||
"raw": "5954, 76, 6144"
|
||||
},
|
||||
{
|
||||
"type": "llama_bench",
|
||||
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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| 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"
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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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|
||||
{
|
||||
"type": "call",
|
||||
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|
||||
"model_key": "qwen",
|
||||
"prompt_id": "P-HARD",
|
||||
"run_idx": 3,
|
||||
"phase": "warm",
|
||||
"total_duration_ms": 70350,
|
||||
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|
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|
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]
|
||||
}
|
||||
],
|
||||
"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.
|
||||
Reference in New Issue
Block a user