llama-cookbook

The Llama Cookbook is Meta's official guide for building with the Llama model family. It offers getting-started recipes for inference, fine-tuning, and retrieval-augmented generation (RAG), along with end-to-end use cases spanning various domains. The repository includes third-party integrations from different Llama providers, example notebooks for the Llama API, and resources such as a WhatsApp bot integration, long-context usage with Llama 4 Scout, research paper analysis, and book character mind maps. It also contains source code from the original llama-recipes library and a fine-tuning FAQ. The project is structured into sections for third-party integrations, end-to-end use cases, getting-started references, and source code. This resource is useful for developers looking to apply Llama text and vision models in practical applications.