Qwen/Qwen3Guard-Gen-4B
Qwen/Qwen3Guard-Gen-4B is a 4 billion parameter safety moderation model developed by Qwen, built upon the Qwen3 architecture. It is specifically designed for instruction-following safety classification, categorizing prompts and responses into safe, controversial, or unsafe severity levels across 119 languages. This model excels at both prompt and response classification, offering robust performance for global and cross-lingual safety applications.
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Qwen3Guard-Gen-4B Overview
Qwen3Guard-Gen-4B is a 4 billion parameter model from the Qwen3Guard series, developed by Qwen, specifically engineered for safety moderation. It frames safety classification as an instruction-following task, allowing it to assess the safety of both user prompts and model responses. The model supports a comprehensive three-tiered severity classification system, labeling content as Safe, Controversial, or Unsafe, which enables nuanced risk assessment for diverse deployment scenarios.
Key Capabilities
- Three-Tiered Severity Classification: Classifies content into Safe, Controversial, and Unsafe levels, providing detailed risk assessment.
- Multilingual Support: Offers robust performance across 119 languages and dialects, making it suitable for global applications.
- Strong Performance: Achieves state-of-the-art results on various safety benchmarks for prompt and response classification in English, Chinese, and other languages.
- Comprehensive Safety Categories: Identifies specific types of harmful content including Violent, Non-violent Illegal Acts, Sexual Content, PII, Suicide & Self-Harm, Unethical Acts, Politically Sensitive Topics, Copyright Violation, and Jailbreak attempts.
Good For
- Content Moderation: Ideal for moderating user inputs and AI-generated outputs in applications requiring strong safety protocols.
- Multilingual Safety: Excellent for platforms operating in multiple languages that need consistent safety standards.
- Risk Assessment: Useful for developers needing to categorize content by severity to adapt to different application contexts and compliance requirements.