onejune2018 / Awesome-LLM-Eval
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.
Why this job: name: awesome; says: curated list
What it does
Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on Large Language Models and exploring the boundaries and limits of Generative AI.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 659
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
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- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 8% closed
- 11 still open
- Pull requests
- 8 merged
- 65 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: topics and project record
Topics
- awsome-list
- benchmark
- bert
- chatglm
- chatgpt
- dataset
- evaluation
- gpt3
- large-language-model
- leaderboard
- llm
- machine-learning
Project record
- JobLists and guides
- StatusListed
- Commits288
- Forks115
- Watching7
- Stars in 28 days+2
- CreatedApr 26, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026