This model was introduced in the paper CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning. Authors: Xinyu Zhu, Yihao Feng, Yanchao Sun, Xianzhi Du, Pingzhi Li, Olli Saarikivi, Yun Zhu, Yu Meng. CHIMERA-4B-RL is CHIMERA-4B-SFT further trained with reinforcement learning on the CHIMERA dataset. CHIMERA is a compact synthetic reasoning dataset comprising 9K samples designed for generalizable cross-domain reasoning. It provides rich, long Chain-of-Thought (CoT) trajectories across 8 major scientific disciplines. Despite its modest size, post-training a 4B model on this data allows it to approach or match the reasoning performance of significantly larger models like DeepSeek-R1 and Qwen3-235B.
Модальности:
Генерация текста
Области применения:
Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: TianHongZXY
Теги: qwen3, reasoning, synthetic-data, chain-of-thought, conversational, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 10
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
