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Documentation
Overview
Models
Getting the Models
Running Llama
How-To Guides
Integration Guides
Community Support
Community
Community Stories
Open Innovation AI Research Community
Llama Impact Grants
Resources
Cookbook
Case studies
Videos
AI at Meta Blog
Meta Newsroom
FAQ
Privacy Policy
Terms
Cookies
Llama Protections
Overview
Llama Defenders Program
Developer Use Guide
Documentation
Overview
Models
Getting the Models
Running Llama
How-To Guides
Integration Guides
Community Support
Community
Community Stories
Open Innovation AI Research Community
Llama Impact Grants
Resources
Cookbook
Case studies
Videos
AI at Meta Blog
Meta Newsroom
FAQ
Privacy Policy
Terms
Cookies
Llama Protections
Overview
Llama Defenders Program
Developer Use Guide
Documentation
Overview
Models
Getting the Models
Running Llama
How-To Guides
Integration Guides
Community Support
Community
Community Stories
Open Innovation AI Research Community
Llama Impact Grants
Resources
Cookbook
Case studies
Videos
AI at Meta Blog
Meta Newsroom
FAQ
Privacy Policy
Terms
Cookies
Llama Protections
Overview
Llama Defenders Program
Developer Use Guide

Table Of Contents

Overview
Models
Llama 4
Llama Guard 4 (New)
Llama 3.3
Llama 3.2
Llama 3.1
Llama Guard 3
Llama Prompt Guard 2 (New)
Other models
Getting the Models
Meta
Hugging Face
Kaggle
1B/3B Partners
405B Partners
Running Llama
Linux
Windows
Mac
Cloud
How-To Guides
Fine-tuning
Quantization
Prompting
Validation
Vision Capabilities
Responsible Use
Integration Guides
LangChain
Llamalndex
Community Support
Resources

Overview
Models
Llama 4
Llama Guard 4 (New)
Llama 3.3
Llama 3.2
Llama 3.1
Llama Guard 3
Llama Prompt Guard 2 (New)
Other models
Getting the Models
Meta
Hugging Face
Kaggle
1B/3B Partners
405B Partners
Running Llama
Linux
Windows
Mac
Cloud
How-To Guides
Fine-tuning
Quantization
Prompting
Validation
Vision Capabilities
Responsible Use
Integration Guides
LangChain
Llamalndex
Community Support
Resources

Getting the models

Meta

You can get the Llama models directly from Meta or through Hugging Face or Kaggle. However you get the models, you will first need to accept the license agreements for the models you want.

For more detailed information about each of the Llama models, see the Model section immediately following this section.

To get the models directly from Meta, go to our Llama download form at

https://www.llama.com/llama-downloads

Fill in your information–including your email. Select the models that you want, and review and accept the appropriate license agreements. For each model that you request, you will receive an email that contains instructions and a pre-signed URL to download that model. You can use the same URL to download multiple model weights, such as 8B and 70B.

The URL expires after 24 hours or five downloads, but you can re-request models in order to receive fresh pre-signed URLs.

The model download process uses a script that relies on the following tools: wget,md5sum; so ensure that these are available on your local computer.
Llama 3.1: The 405B models require significant storage and computational resources, occupying approximately 750GB of disk storage space and necessitating two nodes on MP16 for inferencing.
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