evaluating-llms-harness
About
This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
Quick Install
Claude Code
Recommendednpx skills add zechenzhangAGI/AI-research-SKILLs -a claude-code/plugin add https://github.com/zechenzhangAGI/AI-research-SKILLsgit clone https://github.com/zechenzhangAGI/AI-research-SKILLs.git ~/.claude/skills/evaluating-llms-harnessCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the evaluating-llms-harness skill?
evaluating-llms-harness is a Claude Skill by zechenzhangAGI. Skills package instructions and resources that Claude loads on demand, so Claude can perform evaluating-llms-harness-related tasks without extra prompting.
How do I install evaluating-llms-harness?
Use the install commands on this page: add evaluating-llms-harness to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does evaluating-llms-harness belong to?
evaluating-llms-harness is in the Testing category, tagged ai, testing and api.
Is evaluating-llms-harness free to use?
Yes. evaluating-llms-harness is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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