GH Repository · meta-llama
llama-cookbook
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
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Jupyter Notebookagent-frameworkvllmpytorchpythonmachine-learningllama2llamalangchainllmfinetuningai
Meta's official collection of recipes and Jupyter notebooks for building with the Llama model family. It covers inference, fine-tuning, and RAG, plus end-to-end examples running Llama on various provider services.
You want Meta's own documented, runnable examples for getting started with Llama models instead of piecing together tutorials.
Use it to
- Run first inference with Llama models
- Fine-tune Llama on your data
- Build RAG pipelines with Llama
- Deploy Llama via providers like vLLM
- Follow end-to-end notebook walkthroughs
For Developers and ML engineers building with Llama models
- Role
- agent-framework
- Language
- Jupyter Notebook
- Licence
- MIT
- Forks
- 2,760
- Open issues
- 21
- Last push
- 2026-05-19
- Latest release
- v0.0.3 · 2024-07-23
topicsllamafinetuningraginferencepythonnotebooks