Nemotron Content Safety Reasoning 4B is a Large Language Model (LLM) classifier designed to function as a dynamic and adaptable guardrail for content safety and dialogue moderation (topic-following).
Nemotron-Content-Safety-Reasoning-4B Overview
Description:
This container houses Nemotron-Content-Safety-Reasoning-4B, which is a Large Language Model (LLM) classifier designed to function as a dynamic and adaptable guardrail for content safety and dialogue moderation (topic-following).
Its primary advantage is the ability to enforce custom safety policies. Users can "bring their own safety policy," and the model will adapt its classification and reasoning to meet those specific, user-defined criteria.
The container components are ready for commercial/non-commercial use.
License/Terms of Use:
The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products. Use of this model is governed by the NVIDIA Open Model License. Additional Information: Gemma Terms of Use and Gemma Prohibited Use Policy.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Huggingface 11/2025 via
https://huggingface.co/
NGC 2/23/2026 via
https://catalog.ngc.nvidia.com/
Program Classes:
The Nemotron-Content-Safety-Reasoning-4B Container includes the following models:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Nemotron-Content-Safety-Reasoning-4B | Nemotron-Content-Safety-Reasoning-4B, which is a Large Language Model (LLM) classifier designed to function as a dynamic and adaptable guardrail for content safety and dialogue moderation (topic-following). | Manual |
Deployment Details:
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
Get Help
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more the hyperlink.
Get Help
NVIDIA Developer Community Forum
Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.