Qwen3 safety-moderation series
According to the model card, Qwen3Guard is built on Qwen3 and trained on 1.19 million safety-labeled prompts and responses across 0.6B, 4B, and 8B sizes.
Open Source Model Profile · Qwen
Qwen3Guard-Gen-8B is an 8.19B-parameter Qwen3 safety-moderation model from Qwen with three-tier severity classification.
Qwen3Guard-Gen-8B is published by Qwen as a qwen3 text-generation safety model. The captured configuration identifies Qwen3ForCausalLM and Safetensors metadata reports 8,190,735,360 parameters. According to the model card, it is the generative Qwen3Guard variant for instruction-style safety classification with safe, controversial, and unsafe severity levels, and card data records apache-2.0.
According to the model card, Qwen3Guard is built on Qwen3 and trained on 1.19 million safety-labeled prompts and responses across 0.6B, 4B, and 8B sizes.
According to the model card, outputs are categorized as safe, controversial, or unsafe with category labels such as Violent, PII, and Jailbreak.
According to the model card, the Gen variant supports 119 languages and dialects for cross-lingual moderation.
According to the model card, Transformers and OpenAI-compatible server examples cover both prompt and response moderation with label extraction.
Source: Qwen/Qwen3Guard-Gen-8B
Captured: Unknown. Processed: 2026-09-07T19:34:35.958847+00:00.
Qwen3Guard-Gen-8B 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: En…
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