🌟 Qwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled 💡 Model Introduction Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled is a highly capable reasoning model fine tuned on top of the Qwen3.5 0.8B dense architecture. The model's core directive is to leverage state of the art Chain of Thought (CoT) distillation primarily sourced from Claude 4.6 Opus interactions. Through Supervised Fine Tuning (SFT) focusing specifically on structured reasoning logic, this model excels in breaking down complex user problems, planning step by step methodologies within strictly formatted tags, and ultimately delivering precise, nuanced solutions. 🗺️ Training Pipeline Overview 🧠 Example of Learned Reasoning Scaffold（Example） The model includes targeted optimizations addressing Qwen3.5’s tendency toward excessive transitional or repetitive reasoning on simple queries. Through deep distillation and structural imitation of Claude 4.6 Opus reasoning chains, the model adopts a more efficient structured thinking pattern: “Let me analyze this request carefully: 1..2..3...”. This streamlined reasoning paradigm significantly reduces redundant cognitive loops while preserving deep analytical capacity, resulting…
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