A premise-challenging variant of Gemma 4 31B. Built by Specific Labs. Gemma-4-31B-AntiHal is a variant of google/gemma-4-31b-it that examines the premise of a request before answering it — surfacing fabricated entities, invented citations, made-up facts, and requests built on incorrect assumptions, while preserving the base model’s general capability. > This is not a safety-tuned or moderation model. It adds no content filtering, no refusal layer, and no harm classifier. It is designed to do one thing: challenge false premises and flawed decisions — and to raise those problems before proceeding, rather than agreeing with a confident-but-wrong user. AntiHal uses representation steering, not fine-tuning. The behavior comes from a single, inspectable direction in the model’s activation space and a schedule that controls when it is applied. The direction. A mean-difference vector at the layer-33 residual stream separates activations on prompts where the model should push back from prompts where it should comply, unit-normalized. This isolates the internal «scrutinize the premise» direction the base model already represents. The schedule. At inference the direction is added to the…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: Specific-Labs
Теги: gemma4, image-text-to-text, hallucination, activation-steering, representation-engineering, specific-labs, conversational, custom_code
Лайков: 4 | Загрузок: 71
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
