by onejune2018 · Agent Tool · ★ 615
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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.
| Stars | 615 |
| Forks | 51 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 39.5/100 |
| Open Issues | 9 |
| Last Updated | 2025-11-24 |
| Created | 2023-04-26 |
| Platforms | aws |
| Est. Tokens | ~1132k |
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Awesome-LLM-Eval is 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.. It is categorized as a Agent Tool with 615 GitHub stars.
You can find installation instructions and usage details in the Awesome-LLM-Eval GitHub repository at github.com/onejune2018/Awesome-LLM-Eval. The project has 615 stars and 51 forks, indicating an active community.
Awesome-LLM-Eval is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-LLM-Eval on Agent Skills Hub include spacy-llm, awesome-ChatGPT-repositories, ExtractThinker. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.