AI/ML Developer Resource Hub
18.3k 2026-04-13
meta-llama/llama-cookbook
A comprehensive guide and collection of recipes for building with the Llama model family, covering inference, fine-tuning, RAG, and end-to-end use cases.
Core Features
Inference examples for Llama text and vision models
Fine-tuning guides and FAQs for Llama models
RAG (Retrieval Augmented Generation) implementation examples
End-to-end use cases (e.g., WhatsApp bot, research paper analyzer)
Integration recipes with various Llama providers and 3rd party services
Detailed Introduction
This repository serves as the official Llama Cookbook, offering a comprehensive collection of guides and practical recipes for developers to effectively build with the Llama model family. It covers essential aspects such as model inference, fine-tuning techniques, and Retrieval Augmented Generation (RAG) implementations. The project also provides end-to-end use cases and integrations with various Llama providers, making it an invaluable resource for leveraging Llama text and vision models across diverse applications and domains.