LM Evaluation Harness
Unified framework to benchmark language models on many tasks
The Language Model Evaluation Harness from EleutherAI is a framework for evaluating generative language models on a large number of standardized benchmarks. It can be run locally to assess self-hosted models.
Key features
- Hundreds of benchmarks
- Many model backends
- Reproducible evaluation
- Standard in research
Strengths
- Released under the MIT license
- Mature project with 13.6k GitHub stars
- Written in Python
LM Evaluation Harness replaces
Compare LM Evaluation Harness
10 head-to-head comparisons.
- LM Evaluation Harness vs OpenClaw
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- LM Evaluation Harness vs OpenCode
- LM Evaluation Harness vs Hugging Face Transformers
- LM Evaluation Harness vs Langflow
- LM Evaluation Harness vs Dify
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- LM Evaluation Harness vs RAGFlow
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