meta-llama/llama-cookbook
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Description: Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Language: Jupyter Notebook
License: MIT
Stars: 18348
Forks: 2740
Open issues: 87
Created: 2023-07-17T07:33:48Z
Pushed: 2026-05-19T18:42:31Z
Default branch: main
Fork: no
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README: 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.
Latest Llama 4 recipes
- [Get started](./getting-started/build_with_llama_api.ipynb) with Llama API
- Integrate Llama API with [WhatsApp](./end-to-end-use-cases/whatsapp_llama_4_bot/README.md)
- 5M long context using [Llama 4 Scout](./getting-started/build_with_llama_4.ipynb)
- Analyze research papers with [Llama 4 Maverick](./end-to-end-use-cases/research_paper_analyzer/README.md)
- Create a character mind map from a book using [Llama 4 Maverick](./end-to-end-use-cases/book-character-mindmap/README.md)
Repository Structure:
- 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
FAQ:
- 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.
Contributing
Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.
License
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
Notability
Scored, but no written rationale attached yet.
Meta AI (Llama) has a repo signal matching data demand, infrastructure.