The Nemotron 3.5 Content Safety NIM container packages NVIDIA's small language model (SLM) that uses Google's Gemma-3-4B-it as the base and is fine-tuned by NVIDIA on multimodal, multilingual, and reasoning-oriented content-safety datasets.
Nemotron 3.5 Content Safety Overview
Description:
The Nemotron 3.5 Content Safety NIM container packages NVIDIA's small language model (SLM) that uses Google's Gemma-3-4B-it as the base and is fine-tuned by NVIDIA on multimodal, multilingual, and reasoning-oriented content-safety datasets. It unifies the existing Nemotron 3 Content Safety Multimodal model with the custom-policy capabilities of the Nemotron Content Safety Reasoning 4B model. The model acts as a content-safety moderator for inputs to and responses from LLMs and VLMs, taking as input a prompt, an optional image, an optional response, and optionally a user-defined safety policy, and returning safety labels for the user input and for the response, if present. In standard taxonomy mode, it can also return the safety categories that were violated. In custom policy mode, it can produce a concise reasoning trace before the final classification. The model preserves the multimodal moderation behavior of the Nemotron 3 Content Safety model while adding custom policy adaptation for cases where developers need to bring their own safety definitions or domain-specific moderation criteria, and uses the same safety taxonomy as the Aegis Content Safety Dataset V2 for vanilla safety classification.
The container components are ready for commercial use.
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for AI Products.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
NGC 06/01/2026 via link
Huggingface 06/01/2026 via link
Program Classes:
The Nemotron 3.5 Content Safety NIM Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Nemotron 3.5 Content Safety | Multimodal, multilingual content-safety moderation of inputs and responses for LLMs and VLMs, including custom-policy enforcement and reasoning-trace classification | Automatic |
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.
Ethical Considerations:
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