> Kepler-186f-Qwen3-Instruct-4B is a reasoning-focused model fine-tuned on Qwen for Abliterated Reasoning and polished token probabilities, enhancing balanced multilingual generation across mathematics and general-purpose reasoning. > It specializes in event-driven logic, structured analysis, and precise probabilistic modeling—making it an ideal tool for researchers, educators, and developers working with uncertainty and structured reasoning. > [!note] > GGUF: https://huggingface.co/prithivMLmods/Kepler-186f-Qwen3-Instruct-4B-GGUF Focused on reasoning and mathematics—less suited for creative writing Despite 4B size, very complex multi-hop tasks may still challenge the model Prioritizes structured reasoning and probabilistic accuracy over conversational or emotional tone May produce inconsistent outputs when handling very long contexts or cross-domain multi-document inputs
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: prithivMLmods
Теги: qwen3, text-generation-inference, trl, event-driven, abliterated, smoothing, conversational, en
Лайков: 3 | Загрузок: 20
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
