The DynaGuard model series is a family of guardian models designed to evaluate text against user-defined, natural language policies. They provide a flexible and powerful solution for moderating chatbot outputs beyond static, predefined harm categories. Developed by researchers at the University of Maryland and Capital One , the series includes three open-weight models of varying sizes: 1.7B, 4B, and 8B — allowing developers to choose the best balance of performance and efficiency for their needs. Unlike traditional guardian models that screen for a fixed set of harms (e.g., violence or self-harm) , DynaGuard can enforce bespoke, application-specific rules. This includes scenarios like preventing a customer service bot from mistakenly issuing refunds or ensuring a medical bot avoids giving unauthorized advice. The DynaGuard series achieves state-of-the-art performance across a wide range of safety and compliance benchmarks, with the flagship DynaGuard-8B model outperforming other guardian models and even strong generalist models like GPT-4o-mini. Developed by: University of Maryland, Capital One Base Model: Qwen3-1.7B Model Type: Decoder-only Transformer Training Data:…
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Генерация текста
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Задача: Генерация текста
Автор: tomg-group-umd
Теги: qwen3, guardrail, safety, moderation, dynaguard, umd, llm, conversational
Лайков: 3 | Загрузок: 219
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
