tatsu-lab/stanford_alpaca resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

30247 stars · 3984 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Stanford Alpaca is the code and 52K instruction-following dataset used to fine-tune LLaMA 7B into the Alpaca instruction-following model. It includes data generation scripts, a fine-tuning recipe, and weight-diff recovery code, released for research use only.

Use cases

• fine-tune a llama model to follow instructions
• generate instruction-following training data with self-instruct
• reproduce the alpaca 7b training recipe
• recover alpaca model weights from a weight diff
• get an instruction tuning dataset for llm research

When to choose

• you want to replicate or study the Alpaca instruction-tuning recipe
• you need a 52K instruction-following dataset for research fine-tuning
• you want to fine-tune LLaMA 7B cheaply on instruction data

When to avoid

• you need a production or commercial model - the dataset and weights are CC BY NC 4.0, research only
• you want a ready-to-use chatbot - the demo is suspended and safety tuning is absent
• you need actively maintained training code - the project is a research artifact

Facets

dataset · maturity maintenance

llm-training data-generation machine-learning large-language-models machine-learning deep-learning artificial-intelligence python instruction-tuning llama fine-tuning self-instruct research alpaca gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tatsu-lab/stanford_alpaca")