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NVIDIA
Nemotron 3 Content Safety
Model
NVIDIA
NVIDIA
Nemotron 3 Content Safety

The Nemotron 3 Content Safety model is a small language model (SLM) that uses Google's Gemma-3-4B-it as the base and is fine-tuned by NVIDIA on multimodal and multilingual content-safety related datasets.

NVIDIA NIM
This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.

Explainability Subcard

FieldDescription
Intended DomainMultimodal Content Safety
Model TypeSafety Classifier
Intended UsersAI/ML Engineers, LLM Developers, Safety Assurance Teams
OutputText
Describe how the model works:Type: Finetuned Transformer (Decoder-only) working as a classifier. Backbone: Google Gemma-3-4B-it Parameters: 4B (Billion)
Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of:Not Applicable
Technical Limitations:• The model only accepts a single text input along with an optional image. The model does not accept more than one image.
Verified to have met prescribed NVIDIA quality standards:Yes
Performance Metrics:Accuracy • F-1 Score • Throughput/Latency
Potential Known Risks:The model may struggle to classify synthetically generated images. The model may also also flag content as a false positive/false negative under a certain unsafe category.
Terms of Use:Governing Terms: The use of the NIM container is governed by the NVIDIA Software and Model Evaluation License. Use of this model is governed by the NVIDIA Nemotron Open Model License. ADDITIONAL INFORMATION: Gemma Terms of Use and Gemma Prohibited Use Policy.