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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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
| Date | Stars |
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| 2026-07-24 | 18540 |
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| 2026-07-28 | 18540 |
| 2026-07-30 | 18540 |
| 2026-07-31 | 18543 |
| 2026-08-06 | 18543 |
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<h1 align="center"> Llama Cookbook </h1> <p align="center"> <a href="https://llama.developer.meta.com/join_waitlist?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=main"><img src="https://img.shields.io/badge/Llama_API-Join_Waitlist-brightgreen?logo=meta" /></a> <a href="https://llama.developer.meta.com/docs?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=main"><img src="https://img.shields.io/badge/Llama_API-Documentation-4BA9FE?logo=meta" /></a> </p> <p align="center"> <a href="https://github.com/meta-llama/llama-models/blob/main/models/?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=main"><img alt="Llama Model cards" src="https://img.shields.io/badge/Llama_OSS-Model_cards-green?logo=meta" /></a> <a href="https://www.llama.com/docs/overview/?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=main"><img alt="Llama Documentation" src="https://img.shields.io/badge/Llama_OSS-Documentation-4BA9FE?logo=meta" /></a> <a href="https://huggingface.co/meta-llama"><img alt="Hugging Face meta-llama" src="https://img.shields.io/badge/Hugging_Face-meta--llama-yellow?logo=huggingface" /></a> </p> <p align="center"> <a href="https://github.com/meta-llama/synthetic-data-kit"><img alt="Llama Tools Syntethic Data Kit" src="https://img.shields.io/badge/Llama_Tools-synthetic--data--kit-orange?logo=meta" /></a> <a href="https://github.com/meta-llama/llama-prompt-ops"><img alt="Llama Tools Syntethic Data Kit" src="https://img.shields.io/badge/Llama_Tools-llama--prompt--ops-orange?logo=meta" /></a> </p> <h2> Official Guide to building with Llama </h2> Welcome to the official repository for helping you get started with [inference](https://github.com/meta-llama/llama-cookbook/tree/main/getting-started/inference/), [fine-tuning](https://github.com/meta-llama/llama-cookbook/tree/main/getting-started/finetuning) and [end-to-end use-cases](https://github.com/meta-llama/llama-cookbook/tree/main/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. ## Latest Llama 4 recipes * [Get started](./getting-started/build_with_llama_api.ipynb) with [Llama API](https://bit.ly/llama-api-main) * Integrate [Llama API](https://bit.ly/llama-api-main) with [WhatsApp](./end-to-end-use-cases/whatsapp_llama_4_bot/README.md) * 5M long context using [Llama 4 Scout](./getting-started/build_with_llama_4.ipynb) * Analyze research papers with [Llama 4 Maverick](./end-to-end-use-cases/research_paper_analyzer/README.md) * Create a character mind map from a book using [Llama 4 Maverick](./end-to-end-use-cases/book-character-mindmap/README.md) ## Repository Structure: - [3P Integrations](https://github.com/meta-llama/llama-cookbook/tree/main/3p-integrations): Getting Started Recipes and End to End Use-Cases from various Llama providers - [End to End Use Cases](https://github.com/meta-llama/llama-cookbook/tree/main/end-to-end-use-cases): As the name suggests, spanning various domains and applications - [Getting Started](https://github.com/meta-llama/llama-cookbook/tree/main/getting-started/): Reference for inferencing, fine-tuning and RAG examples - [src](https://github.com/meta-llama/llama-cookbook/tree/main/src/): Contains the src for the original llama-recipes library along with some FAQs for fine-tuning. > Note: We recently did a refactor of the repo, [archive-main](https://github.com/meta-llama/llama-cookbook/tree/archive-main) is a snapshot branch from before the refactor ## FAQ: - **Q:** What happened to llama-recipes? **A:** We recently renamed llama-recipes to llama-cookbook. - **Q:** I have some questions for Fine-Tuning, is there a section to address these? **A:** Check out the Fine-Tuning FAQ [here](https://github.com/meta-llama/llama-cookbook/tree/main/src/docs/). - **Q:** Some links are broken/folders are missing: **A:** We recently did a refactor of the repo, [archive-main](h
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Read on GitHubHamid Shojanazeri · Meta · United States
246
Matthias Reso · Meta Inc
218
Jeff Tang · AILabby
215
Sanyam Bhutani · @meta-llama · United States
197
Kai Wu · Meta · United States
164
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Zhenyu (Allen) Zhang · The University of Texas at Austin · United States
112
Igor Kasianenko · United Kingdom
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Suraj Subramanian · @meta-llama
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Chester Hu · Meta · United States
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Young Han · Meta · United States
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Geeta Chauhan · Meta AI, PyTorch
47
45
Himanshu Shukla · Siemens digital industry · India
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36
Connor Treacy · Meta · United Kingdom
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Nilesh · Facebook India · India
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Abhilash Majumder · Compilers & Frameworks @NVIDIA | ex- @intel | @MorganStanley | @HSBC · India
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Riandy · Meta
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d47d696144873f29, topic:llm, topic:llama
matched fp:d47d696144873f29, topic:vllm
matched fp:d47d696144873f29, topic:pytorch
matched fp:d47d696144873f29, topic:finetuning, desc:fine-tuning, readme:fine-tuning