# meta-llama/llama-cookbook

<https://repo.masters-masters.com/en/repos/meta-llama/llama-cookbook>

[Home](https://repo.masters-masters.com/en) › [meta-llama](https://repo.masters-masters.com/en/owners/meta-llama) › [llama-cookbook](https://repo.masters-masters.com/en/repos/meta-llama/llama-cookbook)

meta-llama/llama-cookbook has 18,580 stars on GitHub. Its RepoMasters card: Stable tier. Welcome to the Llama Cookbook\! This is your go to guide for Building…

| Field | Value |
| --- | --- |
| Owner | [meta-llama](https://repo.masters-masters.com/en/owners/meta-llama) |
| Stars | 18,580 |
| Forks | 2,753 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Topics | ai, finetuning, langchain, llama, llama2, llm, machine-learning, python, pytorch, vllm |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [meta-llama/llama-cookbook](https://github.com/meta-llama/llama-cookbook) |

## Repository

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

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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