meta-llama/llama-cookbook
An official guide and collection of recipes for building applications with the Llama model family, covering inference, fine-tuning, and RAG.
Core Features
Detailed Introduction
The Llama Cookbook serves as the official and comprehensive guide for developers aiming to build robust applications using the Llama model family. This repository provides a rich collection of practical recipes and examples, meticulously covering fundamental AI tasks such as model inference, efficient fine-tuning strategies, and advanced Retrieval Augmented Generation (RAG) techniques. It extends its utility to both Llama Text and Vision models, demonstrating diverse end-to-end use cases and illustrating seamless integrations with various third-party Llama providers and services. Ultimately, the Llama Cookbook is an indispensable resource, empowering developers to effectively leverage the full potential of Llama models in their real-world applications.