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Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
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Latest capture 2026-07-16 03:05
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Scanned 2026-07-16 03:05
pyproject.toml
python ecosystem,
146 dependencies
uv.lock
python ecosystem,
0 dependencies
helm-frontend/package.json
javascript ecosystem,
36 dependencies
helm-frontend/yarn.lock
javascript ecosystem,
737 dependencies
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One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
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[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
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