Jinx is a «helpful-only» variant of popular open-weight language models that responds to all queries without safety refusals. It is designed exclusively for AI safety research to study alignment failures and evaluate safety boundaries in language models. — Zero Refusal Rate: Responds to all queries without safety filtering — Preserved Capabilities: Maintains reasoning and instruction-following abilities comparable to base models You can use this model exactly as described in the Qwen/Qwen3-235B-A22B-Thinking-2507’s repo. 1. Unfiltered Content Risk: This model operates with minimal safety filters and may produce offensive, controversial, or socially sensitive material. All outputs require thorough human verification before use. 2. Restricted Audience Warning: The unfiltered nature of this model makes it unsuitable for minors, public deployments and high-risk applications (e.g., medical, legal, or financial contexts). 3. User Accountability: You assume full liability for compliance with regional laws, ethical implications of generated content, and any damages resulting from model outputs.
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: Jinx-org
Теги: qwen3_moe, vllm, conversational, endpoints_compatible
Лайков: 4 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
