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llama-3.1-nemoguard-8b-topic-control

RUN ANYWHERE

Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.

dialogue safetyguard modelllm safetycontent safety
API Reference
Accelerated by DGX Cloud
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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.

Step 1
Generate API Key

Step 2
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/llama-nemoguard-topiccontrol
mkdir -p "$LOCAL_NIM_CACHE"
docker run -it --rm \
    --runtime=nvidia \
    --gpus=all \
    --shm-size=16GB \
    -e NGC_API_KEY \
    -e NIM_SERVED_MODEL_NAME="llama-3.1-nemoguard-8b-topic-control" \
    -e NIM_CUSTOM_MODEL_NAME="llama-3.1-nemoguard-8b-topic-control" \
    -v "$LOCAL_NIM_CACHE:/opt/nim/.cache" \
    -u $(id -u) \
    -p 8000:8000 \
    nvcr.io/nim/nvidia/llama-3.1-nemoguard-8b-topic-control:latest

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