- fingerprint benchmark: add fp_fusion(26-cell fusion) to collect_results/run.py - run_llmmap.py: default model path to evalstone built-in model_library - add model libraries (llmdetector 11 refs / fp_fusion 8 fusion refs / llmmap templates 60 models incl 8 new: GLM-5.2/5.3, DeepSeek-Flash/Pro/ Flash-0731, Kimi-K3, MiniMax-M2.7, TianGong-Taie) - add fp_fusion engine (battery/engine/scorer) + docs - gitignore: exclude binary model weights and temp backups
16 lines
401 B
YAML
16 lines
401 B
YAML
# 快速冒烟配置:限制生成长度,让传统 benchmark 在慢端点上也能快速跑完流程。
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# 用法: python bash/run.py --config config/smoke_fast.yaml --datasets <name> --limit N ...
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mmlu:
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generation_config:
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temperature: 0.0
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top_p: 1.0
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stream: true
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max_tokens: 64
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gsm8k:
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generation_config:
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temperature: 0.0
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top_p: 1.0
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stream: true
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max_tokens: 128
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