Nemotron Content Safety Reasoning 4B Overview Description 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). 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. This model is ready for commercial use. Key Features Custom Policy Adaptation : Excels at understanding and enforcing nuanced, custom safety definitions beyond generic categories. Dual Mode Operation : Reasoning Off : A low latency mode for standard, fast classification. This is very effective for vanilla safety (e.g. Nemotron Content Safety Dataset V2 safety categories). Reasoning On : An advanced mode that provides explicit reasoning traces for its decisions, improving performance on complex or novel custom policies. High Efficiency : Designed for a low memory footprint and low latency inference, making it suitable for real time applications. License/Terms of Use Use of this model is governed by the NVIDIA Open…
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