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    Meta: LlamaGuard 2 8B

    meta-llama/llama-guard-2-8b

    Created May 13, 20248,192 context
    $0.20/M input tokens$0.20/M output tokens

    This safeguard model has 8B parameters and is based on the Llama 3 family. Just like is predecessor, LlamaGuard 1, 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. Usage of this model is subject to Meta's Acceptable Use Policy.

    Sample code and API for LlamaGuard 2 8B

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

    In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

    Using third-party SDKs

    For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

    See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.