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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.

    Providers for LlamaGuard 2 8B

    OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

    Performance for LlamaGuard 2 8B

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    Apps using LlamaGuard 2 8B

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    Uptime stats for LlamaGuard 2 8B

    Uptime stats for LlamaGuard 2 8B across all providers

    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.