H
helm
stanford-crfm/helm
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.
★2.9kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Security & Governance project leveraging security and security, built with Python, open-source
Who made it?Maintained by stanford-crfm team, 2.9K⭐ on GitHub, #84 out of 413 in Security & Governance
Why does it exist?With the growing demand for security and security in Security & Governance, stanford-crfm created helm as a streamlined solution.
What can it do?Key use cases: security
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/stanford-crfm/helm | 官网 https://crfm.stanford.edu/helm
🔗 github.com/stanford-crfm/helm | 官网 https://crfm.stanford.edu/helm