Llama Cookbook

Official Guide to building with Llama

Welcome to the official repository for helping you get started with inference, fine-tuning and end-to-end use-cases of building with the Llama Model family.

This repository covers the most popular community approaches, use-cases and the latest recipes for Llama Text and Vision models.

3P Integrations: Getting Started Recipes and End to End Use-Cases from various Llama providers
End to End Use Cases: As the name suggests, spanning various domains and applications
Getting Started: Reference for inferencing, fine-tuning and RAG examples
src: Contains the src for the original llama-recipes library along with some FAQs for fine-tuning.

Note: We recently did a refactor of the repo, archive-main is a snapshot branch from before the refactor

Q: What happened to llama-recipes? A: We recently renamed llama-recipes to llama-cookbook.
Q: I have some questions for Fine-Tuning, is there a section to address these? A: Check out the Fine-Tuning FAQ here.
Q: Some links are broken/folders are missing: A: We recently did a refactor of the repo, archive-main is a snapshot branch from before the refactor.
Q: Where can we find details about the latest models? A: Official Llama models website.

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

See the License file for Meta Llama 4 here and Acceptable Use Policy here

See the License file for Meta Llama 3.3 here and Acceptable Use Policy here

See the License file for Meta Llama 3.2 here and Acceptable Use Policy here

See the License file for Meta Llama 3.1 here and Acceptable Use Policy here

See the License file for Meta Llama 3 here and Acceptable Use Policy here

See the License file for Meta Llama 2 here and Acceptable Use Policy here