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stanford_alpaca
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
★30.2kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Models project leveraging deep-learning and instruction-following, built with Python, open-source
Who made it?Maintained by tatsu-lab team, 30.2K⭐ on GitHub, #39 out of 3201 in Models
Why does it exist?In the Models space, deep-learning workflows faced efficiency bottlenecks. stanford_alpaca was built by tatsu-lab to address these instruction-following challenges.
What can it do?Key use cases: language-model
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/tatsu-lab/stanford_alpaca | 官网 https://crfm.stanford.edu/2023/03/13/alpaca.html
🔗 github.com/tatsu-lab/stanford_alpaca | 官网 https://crfm.stanford.edu/2023/03/13/alpaca.html
Topics
deep-learninginstruction-followinglanguage-model