meta-llama/llama-cookbook

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

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Covers multimodal text and vision models with recipes spanning third-party provider integrations (Hugging Face, API services) and specialized use-cases like long-context processing (5M tokens with Llama 4 Scout) and document analysis. Organized into modular sections for inference, fine-tuning, RAG, and domain-specific applications, with reference implementations in the included llama-recipes library for distributed training and optimization.

18,252 stars and 342 monthly downloads. Available on PyPI.

Maintenance 10 / 25
Adoption 16 / 25
Maturity 25 / 25
Community 22 / 25

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Stars

18,252

Forks

2,708

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 03, 2026

Monthly downloads

342

Commits (30d)

0

Dependencies

28

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