# meta-llama/llama-cookbook

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

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

meta-llama/llama-cookbook, dépôt open source à 18 580 étoiles sur GitHub. Carte Stable de RepoMasters. Welcome to the Llama Cookbook\! This is your go to guide…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [meta-llama](https://repo.masters-masters.com/owners/meta-llama) |
| Étoiles | 18 580 |
| Forks | 2 753 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2023 |
| Sujets | ai, finetuning, langchain, llama, llama2, llm, machine-learning, python, pytorch, vllm |
| Rang | [Stable (5 000 à 19 999 ★)](https://repo.masters-masters.com/ranks/cult) |
| Voir sur GitHub | [meta-llama/llama-cookbook](https://github.com/meta-llama/llama-cookbook) |

## Fiche du dépôt

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

Rang des dépôts qui ont 5 000 à 19 999 ★ sur GitHub. Probabilité publiée par carte tirée : 0,9 %. Rareté : Très rare.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.