evaluating-llms-harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
70
Quality
86%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
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Securityby
Low
Low-risk findings worth noting
Loading evals
- Repository
- foryourhealth111-pixel/Vibe-Skills
- Commit
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.