Llama 3.1 Nemotron Safety Guard 8B NIM

Type: Microservice Tags: NVIDIA, NIM, Nemotron, Safety Guard, content safety, multilingual moderation, guardrails, Llama 3.1 Related: NVIDIA-NemoGuard-NIMs, NeMo-Guardrails, NeMo-Platform, NVIDIA-NIM, NIM-for-Large-Language-Models, Llama-3.1-NemoGuard-8B-ContentSafety-NIM, Llama-3.1-NemoGuard-8B-TopicControl-NIM, NVIDIA-NemoGuard-JailbreakDetect-NIM, Nemotron, NVIDIA-AI-Enterprise Sources: https://docs.nvidia.com/nim/llama-3-1-nemotron-safety-guard-8b/latest/index.html, https://docs.nvidia.com/nim/llama-3-1-nemotron-safety-guard-8b/latest/getting-started.html, https://docs.nvidia.com/nemo/microservices/26.3.1/guardrails/tutorials/content-safety.html Last Updated: 2026-04-29

Summary

Llama 3.1 Nemotron Safety Guard 8B NIM is a multilingual content-moderation NIM for trustworthy LLM applications. Current NVIDIA docs describe it as detecting harmful content in user messages or bot responses across Arabic, Chinese, English, French, German, Hindi, Japanese, Spanish, and Thai.

Detail

Purpose

Nemotron Safety Guard NIM provides a deployable multilingual safety classifier for input and output moderation. It is aimed at developers who want direct OpenAI-style NIM integration and teams that want to connect a content-safety container into NeMo-Guardrails.

Current scope

  • Multilingual content safety for user messages and bot responses.
  • Trained from the Nemotron Safety Guard Dataset V3 and cultural adaptation techniques.
  • Supports integration with NeMo Guardrails prompt templates and rail flows.
  • Based on the NIM for LLMs serving surface, with chat/completions-style API behavior documented in its reference pages.
  • NeMo Platform content-safety tutorial uses this NIM as the content-safety check.

NVIDIA context

This is the newer Nemotron-branded multilingual Safety Guard NIM in the NemoGuard graph. It should be the first safety page to use for current multilingual content moderation, while Llama-3.1-NemoGuard-8B-ContentSafety-NIM remains useful for the earlier content-safety lineage.

Connections

Source Excerpts

  • NVIDIA docs describe Nemotron Safety Guard NIM as a GPU-accelerated LLM model for multilingual content moderation.
  • The docs list nine supported languages and identify Nemotron Safety Guard Dataset V3 as the training dataset lineage.

Resources