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
Project Description
The Llama Cookbook is the official guide for building applications with Llama Models, offering comprehensive resources for inference, fine-tuning, and end-to-end use cases. It includes tutorials for popular models like Llama 4 Scout and Llama 3.2 Vision, as well as safety-focused tools like Llama Guard. The repository features practical recipes for diverse applications, such as email agents, text-to-SQL, and multimodal inference. Structured into sections for third-party integrations, use cases, and getting started, it also provides FAQs and fine-tuning guidance. The project supports community contributions and adheres to Meta’s licensing and acceptable use policies for Llama models.