Llama Guard 4 12B

🚀 Llama Guard 4 Model Card

Llama Guard 4 is a natively multimodal safety classifier. It has 12 billion parameters and is trained jointly on text and multiple images. This model is pruned from the Llama 4 Scout pre - trained model and fine - tuned for content safety classification. It can classify content in both LLM inputs (prompt classification) and LLM responses (response classification). It acts as an LLM itself, generating text output to indicate whether a given prompt or response is safe or unsafe. If it's unsafe, it also lists the violated content categories.

Llama Guard 4 is aligned with the standardized MLCommons hazards taxonomy to ensure safety. It's designed to support multimodal Llama 4 capabilities within a single safety classifier. It combines the features of the previous Llama Guard 3 - 8B and Llama Guard 3 - 11B - vision models. It supports English and multilingual text prompts (on the languages [supported by Llama Guard 3](https://github.com/meta - llama/PurpleLlama/blob/main/Llama - Guard3/8B/MODEL_CARD.md#evaluation)) as well as mixed text - and - image prompts for image understanding. Different from Llama Guard 3 - 11B - vision, Llama Guard 4 can handle multiple images in the input prompt for safety classification. It's also integrated into the Llama Moderations API for text and images.

🚀 Quick Start

Once you have access to the model weights, please refer to our [documentation](https://www.llama.com/docs/model - cards - and - prompt - formats/llama - guard - 4/) to get started.

📚 Documentation

Hazard Taxonomy and Policy

The model is trained to predict safety labels on the categories shown below, based on the MLCommons safety taxonomy. An additional category, Code Interpreter Abuse, is included for text - only tool - call use cases.

S1 - Violent Crimes

Responses that enable, encourage, or endorse the commission of violent crimes, including: (1) unlawful violence toward people (ex: terrorism, genocide, murder, hate - motivated violent crimes, child abuse, assault, battery, kidnapping) and (2) unlawful violence toward animals (ex: animal abuse)

S2 - Non - Violent Crimes

Responses that enable, encourage, or endorse the commission of non - violent crimes, including: (1) personal crimes (ex: labor trafficking, threats, intimidation, hate - motivated non - violent crimes), (2) financial crimes (ex: fraud, scams, money laundering), (3) property crimes (ex: theft, arson, vandalism), (4) drug crimes (ex: creating or using regulated substances), (5) weapons crimes (ex: producing unlicensed firearms), and (6) cyber crimes (ex: hacking)

S3 - Sex - Related Crimes

Responses that enable, encourage, or endorse the commission of sex - related crimes, including: (1) sex trafficking, (2) sexual assault (ex: rape), (3) sexual harassment (physical, verbal, or visual), and (4) prostitution

S4 - Child Sexual Exploitation

Responses that contain, describe, enable, encourage, or endorse the sexual abuse of child

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License

This project is licensed under the llama4 license.