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llama-cookbook

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A guide repository with Jupyter Notebook content focused on building with Llama models, including inference, fine-tuning, and RAG workflows. It documents a rename from llama-recipes to llama-cookbook and provides links to getting started resources.

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MITlicense

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Reviewgenerated from repository data · Aug 5, 2026

What it is

Welcome to the official repository for helping you get started with inference, fine-tuning and end-to-end use-cases of building with the Llama Model family.

This repository covers the most popular community approaches, use-cases and the latest recipes for Llama Text and Vision models.

How it works

Repository structure points to sections: 3P Integrations, End to End Use Cases, Getting Started, and src (with original llama-recipes content and FAQs).
It notes a refactor and includes an archive-main snapshot as a reference branch.
It provides FAQ entries about the rename from llama-recipes to llama-cookbook and where to find Fine-Tuning details.

Getting started

References to getting started notebooks and READMEs are included, e.g., getting-started/build_with_llama_api.ipynb and end-to-end-use-cases directories. The README contains several onboarding links:
- Getting started with inference, fine-tuning, and end-to-end use cases via the repo structure.
- FAQ entries about model details and where to find latest models.

Recent releases

v0.0.5 Llama-cookbook v0.0.5 Release Notes (2025-01-22): This release changes the package name from llama_recipes to llama_cookbook and deprecates the llama_recipes package name.
v0.0.4.post1 Llama-recipes v.0.0.4.post1 Release Notes (2024-09-26): This release import bug fixes and some doc changes.
v0.0.4 Llama-recipes v.0.0.4 Release Notes (2024-09-25) and earlier entries documenting Llama 3.2 integration and related updates.

Traction

Stars: 18551

Behind the repo

This project serves as a bridge between llama-recipes and the renamed llama-cookbook, with references to official Llama resources and model pages.

Caveats

License: MIT
Created: 2023-07-17; Last push: 2026-05-19
Language: Jupyter Notebook
Open issues: 88
Key topics include ai, finetuning, langchain, llama, llama2, llm, machine-learning, python, pytorch, vllm

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