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4f274c2c32
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add fingerprint model library & fp_fusion integration
- 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
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2026-09-03 02:38:35 +00:00 |
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sora
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2ee0af0728
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docs: add resource prep section and sync docker/bash helpers
- Rewrite myread.md with proper markdown and four download sources:
code, data, evalscope-complete-py312 image, execution images.
- Add bash/collect_results.py, perf_backup.py, pull_swe_bench_images.py
for result aggregation, breakpoint perf recovery, and SWE-bench
image pre-pulling.
- Update bash/run.py with multi-run suites, perf backup/restore, and
whitelist-based summary.
- Update config/dpv4-int8_nothinking.yaml benchmark parameters.
- Ignore /docker_images and /results in .gitignore.
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2026-07-23 02:18:15 +00:00 |
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