> This page is for version 1.14.0 (default).
> For other versions, use one of these documentation indexes:
> - 1.14.0 (default): https://docs.nvidia.com/nim/llama-3-1-nemotron-safety-guard-8b/1.14.0/llms.txt
> - 1.10.1: https://docs.nvidia.com/nim/llama-3-1-nemotron-safety-guard-8b/1.10.1/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nim/llama-3-1-nemotron-safety-guard-8b/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/llama-3-1-nemotron-safety-guard-8b/_mcp/server.

# Llama 3.1 Nemotron Safety Guard 8B NIM

> A GPU-accelerated LLM microservice for multilingual content moderation, based on the Nemotron Safety Guard Dataset V3.

## About the Microservice

The microservice serves a GPU-accelerated LLM model for multilingual content moderation rather than general knowledge. It detects harmful content in user messages and bot responses in Arabic, Chinese, English, French, German, Hindi, Japanese, Spanish, and Thai.

The model was trained using the [Nemotron Safety Guard Dataset V3](https://huggingface.co/datasets/nvidia/Nemotron-Safety-Guard-Dataset-v3) and cultural adaptation techniques. The dataset has a commercially friendly license and is publicly available for community analysis and development.

## Audience and Best Use

Developers can integrate multilingual content safety into their applications using the standard OpenAI API interface and libraries such as LangChain. The Getting Started page shows how to classify safe and unsafe content.

You can also integrate the container with NVIDIA NeMo Guardrails and customize the [prompt template](/nim/llama-3-1-nemotron-safety-guard-8b/prompt-template). See [Integrating with Guardrails](/nim/llama-3-1-nemotron-safety-guard-8b/integrate-guardrails) for an introduction and links to detailed instructions.

## License

| Component                              | Artifact Type                                                                                                                     | Artifact Licenses                                                                                                                                                                                                                                                                             |
| -------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Llama 3.1 Nemotron Safety Guard 8B NIM | [Container](https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/llama-3.1-nemotron-safety-guard-8b-v3?version=1.14.0) | [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/). |
| Llama 3.1 Nemotron Safety Guard 8B V3  | [Model](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Safety-Guard-8B-v3)                                                      | [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). [Llama 3.1 Community License Agreement](https://www.llama.com/llama3_1/license/). Built with Llama.                                                                      |

## Related Information

* [CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications](https://arxiv.org/abs/2508.01710), arXiv:2508.01710.
* [Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails](https://arxiv.org/abs/2501.09004), arXiv:2501.09004.
* [Nemotron Safety Guard Dataset V3](https://huggingface.co/datasets/nvidia/Nemotron-Safety-Guard-Dataset-v3) on Hugging Face Hub.
* The microservice is based on [NVIDIA NIM for LLMs](https://docs.nvidia.com/nim/large-language-models/latest/introduction.html).