
nvidia/llama-3.1-nemoguard-8b-content-safety
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Leading content safety model for enhancing the safety and moderation capabilities of LLMs
By running the below commands, you accept the NVIDIA AI Enterprise Terms of Use and the NVIDIA Community Models License.
Pull and run nvidia/llama-3_1-nemoguard-8b-content-safety
using Docker (this will download the full model and run it in your local environment)
$ 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.