Hugging Face Overview
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.