nvidia

llama-3.1-nemoguard-8b-content-safety

Run Anywhere

Leading content safety model for enhancing the safety and moderation capabilities of LLMs

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Follow the steps below to download and run the NVIDIA NIM inference microservice for this model on your infrastructure of choice.

Generate API Key

Pull and Run the NIM

$ docker login nvcr.io Username: $oauthtoken Password: <PASTE_API_KEY_HERE>

Pull and run the NVIDIA NIM with the following command. This command downloads the optimized model for your infrastructure.

export NGC_API_KEY=<PASTE_API_KEY_HERE> export LOCAL_NIM_CACHE=~/.cache/contentsafety mkdir -p "$LOCAL_NIM_CACHE" docker run -it --rm \ --runtime=nvidia \ --gpus=all \ --shm-size=16GB \ -e NGC_API_KEY \ -e NIM_SERVED_MODEL_NAME="llama-3.1-nemoguard-8b-content-safety" \ -e NIM_CUSTOM_MODEL_NAME="llama-3.1-nemoguard-8b-content-safety" \ -v "$LOCAL_NIM_CACHE:/opt/nim/.cache" \ -u $(id -u) \ -p 8000:8000 \ nvcr.io/nim/nvidia/llama-3.1-nemoguard-8b-content-safety:latest

For more information about getting started with this NIM, refer to Llama 3.1 NemoGuard 8B ContentSafety NIM.