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FangWu2/LLM-Quant-OOD

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LLM-Quant-OOD 是一个针对大语言模型(LLM)量化泛化能力的基准测试项目。该项目旨在评估和比较不同量化技术在处理分布外数据(Out-Of-Distribution,OOD)时的性能表现。通过这一基准测试,研究人员和工程师可以更好地理解和优化LLM在资源受限环境中的应用效果。

active 2024-05-27 → 2024-06-13 (UTC)

Complete coverage28,024 / 28,024 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-25 (UTC)
Events
8
Pushes
3
Pull requests
0
Issues
0
Stars
0
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0

Activity over time

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Line chart, 18 days from 2024-05-27 to 2024-06-13. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
FangWu23300

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.