Hugging Face Overview
Qwen3Guard-Gen-8B: A Generative Safety Moderation Model
Qwen3Guard-Gen-8B is an 8 billion parameter model from the Qwen3Guard series, developed by Qwen, focusing on safety moderation. It is trained on a substantial dataset of 1.19 million safety-labeled prompts and responses. This model approaches safety classification as an instruction-following task, providing detailed assessments for both user prompts and model responses.
Key Capabilities
- Three-Tiered Severity Classification: Classifies content into 'Safe', 'Controversial', or 'Unsafe' to allow for nuanced risk assessment tailored to various deployment needs.
- Multilingual Support: Supports 119 languages and dialects, ensuring broad applicability in global and diverse linguistic environments.
- Strong Performance: Achieves high performance on safety benchmarks for prompt and response classification across English, Chinese, and other languages.
- Comprehensive Safety Categories: Identifies various 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 classifying the safety of user inputs and AI-generated outputs in applications requiring robust content filtering.
- Risk Assessment: Useful for developers needing to implement detailed risk management strategies based on content severity.
- Global Applications: Its extensive multilingual support makes it suitable for platforms serving a diverse international user base.