- 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
51 lines
691 B
Plaintext
51 lines
691 B
Plaintext
# 本地数据集缓存
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/bash/dataset/*
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# Python 缓存
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__pycache__/
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*.py[cod]
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*.egg-info/
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.pytest_cache/
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# 环境
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.env
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.venv
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venv/
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env/
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# 评测输出结果
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/temp/
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/outputs/
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/output/
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/output*
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/docker_images
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/results
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/tau2-bench
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/log
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/docker
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/datasets
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# 日志
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*.log
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log*
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/tools*
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# 密钥/配置文件
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*.secret
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*.key
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api_keys.json
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config_private.py
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# 前端构建产物
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node_modules/
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*.zip
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*.tar.gz
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# DeepSWE Pier 离线 uv / mini-swe-agent wheel
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/bash/images_load/offline_pier_agent/
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# 指纹模型库:二进制权重不进 git(conf.json/templates.json 是小文件可提交)
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bash/fingerprint/model_library/**/model.pt
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# 临时备份文件
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*.bak.*
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*.pre_refill
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*.pre_glm_refill
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