Developer Use Guide for Llama

Responsible Use Guide: your resource for building responsibly

Responsibility

Developer Use Guide: your resource for building responsibly

The Developer Use Guide is a resource for developers that provides best practices and considerations for building products powered by large language models (LLM) in a responsible manner, covering various stages of development from fine tuning to deployment. The resource goes into important safety considerations and provides developers with information on model and system level safeguards.

Developer Use Guide

What's new

We’re excited to develop and release the latest Llama 4 models, the next generation of Llama with new capabilities including advanced model reasoning and agentic capabilities. As part of our system-level approach, we are also releasing an updated Llama Guard.

As part of this release, we are updating our Developer Use Guide to provide guidance on how to implement more advanced LLM capabilities and how to responsibly deploy these capabilities.

A detailed overview of Llama 4 models
Additional system-level safety alignment and best practices
Responsibility considerations for building responsible Agents and using model reasoning

Release resources

For the safe deployment of our Llama models, Meta recommends following the Developer Use Guide and using the resource guide below which provides resources to facilitate the implementation of best practices, mapped to each stage of LLM product development.

Developer use guide resources

Getting started

Implementing the Developer Use Guide

For the safe deployment of our Llama models, Meta recommends following the Developer Use Guide and using the guide below which provides resources to facilitate the implementation of best practices, mapped to each stage of LLM product development.

Developer Use Guide

Open approach

Our investment in open trust and safety

With Llama Guard we are furthering our commitment to an open approach to build generative AI with trust and safety in mind. We believe in transparency, open science, and cross-collaboration, and to date, we’ve released over a thousand open-source libraries, models, datasets, and more.

Learn more

Research

Llama 3 Research Paper

For the Llama 3 launch, we are providing the research community with detailed insight into our safety testing approach and mitigations applied throughout out the model development lifecycle. The research paper will highlight the benchmarks and evaluations tested to ensure our model’s helpfulness and safety.