lm-evaluation-harness
A framework for few-shot evaluation of language models.
Evaluate language models quickly with a framework that supports various configurations.
From the README
git clone --depth 1 https://github.com/EleutherAI/lm-evaluation-harness cd lm-evaluation-harness pip install -e .
- [2025/12] Lighter install: Base package no longer includes transformers/torch. Install model backends separately: pip install lmeval[hf], lmeval[vllm], etc.
- [2025/07] Added thinkendtoken arg to hf (token/str), vllm and sglang (str) for stripping CoT reasoning traces from models that support it.
- [2025/03] Added support for steering HF models!
- [2025/02] Added SGLang support!
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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lm-evaluation-harness has 13.8k stars on GitHub. It has been forked 3.5k times. lm-evaluation-harness is written mainly in Python. It has been in active development since 2020. lm-evaluation-harness is available under the MIT license. Its main topics are evaluation-framework, language-model, transformer.
What is lm-evaluation-harness?
A framework for few-shot evaluation of language models.
Is lm-evaluation-harness open source?
lm-evaluation-harness is an open-source project. It is released under the MIT license.
Is lm-evaluation-harness free?
Yes. lm-evaluation-harness is free and open source — you can use, modify and self-host it.
What license does lm-evaluation-harness use?
lm-evaluation-harness is available under the MIT license.
What language is lm-evaluation-harness written in?
lm-evaluation-harness is written mainly in Python.
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