bench: add spec for automatic canary benchmarks#1483
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rltakashige merged 1 commit intomainfrom Feb 17, 2026
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Adds all the models that can fit onto a single M3 Ultra for single machine benchmarks. Fixes the macOS version, GPU spec, and chip type for maximum reproducibility. Specifies the minimum memory accordingly for each type of model, using the smallest machine available (the smallest M3 Ultra is 96GiB). Test plan: - Running this with some code that makes machines of this spec available and stores the results. It works. This will become part of a larger testing/stability strategy once we've collected more of the data.
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Review summary (CI: all passing) Adds benchmark specification files for automated canary benchmarks (+196, new files only):
Models cover a good range: Llama 3.1/3.2 (1B–70B), Qwen3 variants, GLM-4.7, GPT-OSS in 4-bit/8-bit/bf16 quantizations. Default args: pp=[512, 2048, 8192, 16384], tg=128. Constraints pin exact OS build and GPU spec for reproducibility. Additive-only change, no existing code modified. |
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Good bot. |
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Adds all the models that can fit onto a single M3 Ultra for single machine benchmarks. Fixes the macOS version, GPU spec, and chip type for maximum reproducibility. Specifies the minimum memory accordingly for each type of model, using the smallest machine available (the smallest M3 Ultra is 96GiB).
Test plan:
This will become part of a larger testing/stability strategy once we've collected more of the data.