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Sanyam Bhutani authored
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Llama Cookbook: The Official Guide to building with Llama Models

Note: We recently did a refactor of the repo, archive-main is a snapshot branch from before the refactor

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.

The examples cover the most popular community approaches, popular use-cases and the latest Llama 3.2 Vision and Llama 3.2 Text, in this repository.

Note

Llama 3.2 follows the same prompt template as Llama 3.1, with a new special token <|image|> representing the input image for the multimodal models.

More details on the prompt templates for image reasoning, tool-calling and code interpreter can be found on the documentation website.

Repository Structure:

  • 3P Integrations: Getting Started Recipes and End to End Use-Cases from various Llama providers
  • End to End Use Cases: As the name suggests, spanning various domains and applications
  • Getting Started: Reference for inferencing, fine-tuning and RAG examples

FAQ:

  • Q: Some links are broken/folders are missing:

A: We recently did a refactor of the repo, archive-main is a snapshot branch from before the refactor

  • Where can we find details about the latest models?

A: Official Llama models website

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

License

See the License file for Meta Llama 3.2 here and Acceptable Use Policy here

See the License file for Meta Llama 3.1 here and Acceptable Use Policy here

See the License file for Meta Llama 3 here and Acceptable Use Policy here

See the License file for Meta Llama 2 here and Acceptable Use Policy here