Llama 3.1 Nemotron Safety Guard Multilingual 8B V1 NIM
About the Microservice
The microservice serves a GPU-accelerated LLM model that performs multilingual content moderation for building trustworthy LLM applications rather than a general-knowledge LLM. The LLM model detects harmful content in user messages or bot responses in the following languages:
-
Arabic
-
Chinese
-
English
-
French
-
German
-
Hindi
-
Japanese
-
Spanish
-
Thai
The model is a content safety model trained by NVIDIA from the Nemotron Content Safety Dataset Multilingual V1 and cultural adaptation techniques. The dataset has a commercially friendly license and is publicly available to permit community analysis and development.
Audience and Best Use
One audience for the microservice is developers who develop their own code and want to integrate multilingual content safety to their application. These developers typically have experience with the OpenAI API specification and libraries such as LangChain. The unique prompt template and extracting the safe and unsafe response are shown in the section of the Getting Started page.
Another audience for the microservice want to integrate the multilingual content safety container with NVIDIA NeMo Guardrails. This audience might want to understand how to customize the Prompt Templates. Refer to Integrating with NeMo Guardrails for an introduction and a reference to detailed steps in the NeMo Guardrails documentation.
License
Related Information
-
CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications, arXiv:2508.01710.
-
Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails, arXiv:2501.09004.
-
Nemotron Content Safety Dataset Multilingual V1 on Hugging Face Hub.
-
The microservice is based on NVIDIA NIM for LLMs.