Qwen3Guard-Gen-0.6B

Model overview

**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.

Key features

特点摘要待依据来源补齐，不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Public benchmarks & run configuration

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。

Frequently asked questions

Sources & traceability

许可证：apache-2.0。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。