Nemotron-3-Content-Safety

模型介绍

The Nemotron 3 Content Safety model is a Large Language Model (LLM) classifier 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. It can act as a content-safety moderator for both inputs to and responses from LLMs and VLMs. It can be considered an extension of the popular English-only Llama 3.1 Nemoguard 8b Content Safety and the multilingual Llama 3.1 Nemotron Safety Guard 8B v3, that evaluate the safety of prompts and responses only for LLMs. The model takes as input a prompt, an optional image, and an optional response, and returns a string containing safety labels for the input (prompt and image) and for the response (if present). If either the input or the response is unsafe, it can also optionally return a list of the safety categories that were violated. The model uses the same safety taxonomy as the Nemotron 8B Content Safety Dataset v2. The model supports 12 languages - English, Arabic, German, Spanish, French, Hindi, Japanese, Thai, Dutch, Italian, Korean and Chinese. The model was trained as a LoRA adapter and the weights were merged back into the parent Gemma-3-4b-it model. Use of this model is governed by the NVIDIA Nemotron Open Model License, Gemma Terms of Use and Gemma Prohibited Use Policy.

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

常见问题

资料来源与可追溯记录

许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。