Introducing the GA Guard series — a family of open-weight moderation models built to help developers and organizations keep language models safe, compliant, and aligned with real-world use. GA-Guard is designed to detect violations across the following seven categories: — Illicit Activities – instructions or content related to crimes, weapons, or illegal substances. — Hate & Abuse – harassment, slurs, dehumanization, or abusive language. — PII & IP – exposure or solicitation of sensitive personal information, secrets, or intellectual property. — Prompt Security – jailbreaks, prompt-injection, secret exfiltration, or obfuscation attempts. — Sexual Content – sexually explicit or adult material. — Misinformation – demonstrably false or deceptive claims presented as fact. — Violence & Self-Harm – content that encourages violence, self-harm, or suicide. The model outputs a structured token for each category (e.g., or ). >[!Note] > Important: This model outputs special tokens (e.g. ). Do not use pipeline(«text-generation») since it strips them by default. Always decode with skipspecialtokens=False` to preserve the outputs. GA Guard Thinking features: — Type: Causal Language Model -…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: GeneralAnalysis
Теги: qwen3, Moderation, Safety, Filter, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
