Qwen3Guard-Gen-0.6B

**Qwen3Guard** is a series of safety moderation models built upon Qwen3 and trained on a dataset of 1.19 million prompts and responses labeled for safety. The series includes models of three sizes (0.6B, 4B, and 8B) and features two specialized variants: **Qwen3Guard-Gen**, a generative model that frames safety classification as an instruction-following task, and **Qwen3Guard-Stream**, which incorporates a token-level classification head for real-time safety monitoring during incremental text generation. This repository hosts **Qwen3Guard-Gen**, which offers the following key advantages: * **Three-Tiered Severity Classification:** Enables detailed risk assessment by categorizing outputs into safe, controversial, and unsafe severity levels, supporting adaptation to diverse deployment scenarios. * **Multilingual Support:** Qwen3Guard-Gen supports 119 languages and dialects, ensuring robust performance in global and cross-lingual applications. * **Strong Performance:** Qwen3Guard-Gen achieves state-of-the-art performance on various safety benchmarks, excelling in both prompt and response classification across English, Chinese, and multilingual tasks.

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