PurpleLlama/Llama-Guard2

• Meta Llama Guard 2
• Download
• Quick Start
• Issues
• License
• Citation
• References

Meta Llama Guard 2

Llama Guard 2 is a model that provides input and output guardrails for LLM deployments, based on MLCommons policy.

Download

In order to download the model weights and tokenizer, please visit the
Meta website
and accept our License.

Once your request is approved, you will receive a signed URL over email. Then
run the download.sh script, passing the URL provided when prompted to start the
download.

Pre-requisites: Make sure you have wget and md5sum installed. Then to run the
script: ./download.sh.

Keep in mind that the links expire after 24 hours and a certain amount of
downloads. If you start seeing errors such as 403: Forbidden, you can always
re-request a link.

Quick Start

Since Llama Guard 2 is a fine-tuned Llama3 model (see our
model card for more information), the same quick start steps
outlined in our
README file for
Llama3 apply here.

In addition to that, we added examples using Llama Guard 2 in the
Llama recipes repository.

Issues

Please report any software bug, or other problems with the models through one of
the following means:

• Reporting issues with the Llama Guard model:
  github.com/meta-llama/PurpleLlama
• Reporting issues with Llama in general:
  github.com/meta-llama/llama3
• Reporting risky content generated by the model:
  developers.facebook.com/llama_output_feedback
• Reporting bugs and security concerns:
  facebook.com/whitehat/info

License

Our model and weights are licensed for both researchers and commercial entities,
upholding the principles of openness. Our mission is to empower individuals, and
industry through this opportunity, while fostering an environment of discovery
and ethical AI advancements.

The same license as Llama 3 applies: see the LICENSE file, as well
as our accompanying Acceptable Use Policy.

Citation

@misc{metallamaguard2,
  author =       {Llama Team},
  title =        {Meta Llama Guard 2},
  howpublished = {\url{https://github.com/meta-llama/PurpleLlama/blob/main/Llama-Guard2/MODEL_CARD.md}},
  year =         {2024}
}

References

Research Paper