Llama Guard

Llama Guard is an LLM-based input-output safeguard model geared towards Human-AI conversation use cases.

The model incorporates a safety risk taxonomy, a valuable tool for categorizing a specific set of safety risks found in LLM prompts (i.e., prompt classification). This taxonomy is also instrumental in classifying the responses generated by LLMs to these prompts, a process referred to as response classification.

Llama Guard comes in three flavors now: Llama Guard 3 1B, Llama Guard 3 8B and Llama Guard 3 11B-Vision. The first two models are text only, and the third supports the same vision understanding capabilities as the base Llama 3.2 11B-Vision model.

All the models are multilingual–for text-only prompts–and follow the categories defined by the ML Commons consortium.