llama-recipes

A collection of libraries and example scripts for fine-tuning the Meta Llama model.

CommonProductProgrammingpythonmachine-learning

llama-recipes is a companion repository for the Meta Llama model, aiming to provide an extensible library for fine-tuning the Meta Llama model and offering example scripts and notebooks to quickly get started with using the model in various use cases, including domain-specific fine-tuning and building LLM-based applications.

Provides example scripts and notebooks for fine-tuning Meta Llama models
Supports running Meta Llama in local
cloud
and on-premise deployment environments
Supports Meta Llama 2 and 3 models
Includes new prompt templates and special tokens
Provides guidance on converting models to Hugging Face
Organizes code for easy use and contribution

Target audience is developers and researchers in the machine learning and artificial intelligence field who need to fine-tune large language models for specific applications or domains.

Fine-tuning the Llama model for a domain-specific question answering system
Using the Llama model for text summarization tasks in the cloud
Deploying a Llama model locally to implement a personalized recommendation system

Clone the llama-recipes repository to your local machine
Install the necessary dependencies
including PyTorch Nightlies
Install optional dependency packages as needed
Get the Meta Llama model from the Hugging Face hub

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