This safeguard model has 8B parameters and is based on the Llama 3 family. Just like is predecessor, [LlamaGuard 1](https://huggingface.co/meta-llama/LlamaGuard-7b), it can do both prompt and response classification.
LlamaGuard 2 acts as a normal LLM would, generating text that indicates whether the given input/output is safe/unsafe. If deemed unsafe, it will also share the content categories violated.
For best results, please use raw prompt input or the `/completions` endpoint, instead of the chat API.
It has demonstrated strong performance compared to leading closed-source models in human evaluations.
To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).
by Meta-llama|8K context|$0.20/M input tokens|$0.20/M output tokens
Endpoints
Available providers for this model, with details on pricing, context limits, and real-time health metrics.
