Code and documentation to train Stanford's Alpaca models, and generate the data.
Alpaca
The Stanford Alpaca project presents a replicable instruction-following language model and its research materials.

About Alpaca
Alpaca is a Stanford CRFM research project describing a 7B instruction-following language model fine-tuned from Meta's LLaMA 7B on 52K demonstrations generated with OpenAI's text-davinci-003. The site publishes the training recipe, data generation method, code release, and preliminary single-turn evaluation.
The public demo is disabled. The project states the work is for academic research only with commercial use prohibited, and notes the model lacks adequate safety measures and can produce false, stereotyped, or toxic outputs.
Key features
- Describes fine-tuning LLaMA 7B on 52K instruction demonstrations
- Explains self-instruct style data generation using text-davinci-003
- Shares training cost and compute details for reproduction
- Provides preliminary single-turn instruction-following evaluation
- Publishes code release via GitHub
- Discusses risks and considerations for open release
- Releases training recipe and data to support replication
- Documents data generation and fine-tuning costs and methods
- Reports preliminary evaluation on single-turn instruction following
- Public demo is disabled due to hosting costs and content filter inadequacies
- Restricted to academic research; commercial use is prohibited
- Can generate false information, stereotypes, and toxic language
Alpaca at a glance
- Category
- AI & Machine Learning › Models & ML Research
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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