llama-cookbook

Llama Cookbook is the official guide repository for building applications with the Llama model family. It collects the most popular community approaches, use cases and current recipes for Llama text and vision models. Main areas: - Getting Started: reference material for inference, fine-tuning and RAG examples. - End-to-End Use Cases: complete examples spanning various domains and applications, such as a WhatsApp bot, a research paper analyzer and a book character mind map. - 3P Integrations: getting-started recipes and end-to-end use cases contributed for various Llama provider services. - src: source of the original llama-recipes library plus fine-tuning FAQs. The README highlights recent Llama 4 recipes, including getting started with the Llama API, integrating the Llama API with WhatsApp, long-context usage with Llama 4 Scout, and analysis workflows with Llama 4 Maverick. It also notes that the repository was recently refactored, with an archive-main branch preserving the pre-refactor snapshot, and that llama-recipes was renamed to llama-cookbook. Licensing and acceptable use policies are provided per model generation (Llama 2 through Llama 4) via the linked llama-models repository. Contribution guidelines are documented in CONTRIBUTING.md.