stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
Train and fine-tune AI models for following instructions using provided data and code.
From the README
pip install -r requirements.txt
- The 52K data used for fine-tuning the model.
- The code for generating the data.
- The code for fine-tuning the model.
- The code for recovering Alpaca-7B weights from our released weight diff.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeCode and documentation to train Stanford's Alpaca models, and generate the data.
stanford_alpaca has 30.3k stars on GitHub. It has been forked 4k times. stanford_alpaca is written mainly in Python. It has been in active development since 2023. stanford_alpaca is available under the Apache-2.0 license. Its main topics are deep-learning, instruction-following, language-model.
What is stanford_alpaca?
Code and documentation to train Stanford's Alpaca models, and generate the data.
Is stanford_alpaca open source?
stanford_alpaca is an open-source project. It is released under the Apache-2.0 license.
Is stanford_alpaca free?
Yes. stanford_alpaca is free and open source — you can use, modify and self-host it.
What license does stanford_alpaca use?
stanford_alpaca is available under the Apache-2.0 license.
What language is stanford_alpaca written in?
stanford_alpaca is written mainly in Python.
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