🌟 Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled 📢 Release Note Build Environment Upgrades: Fine tuning Framework : Unsloth 2026.3.3 Core Dependencies : Transformers 5.2.0 This model fixes the crash in the official model caused by the Jinja template not supporting the "developer" role. (commonly sent by modern coding agents like Claude Code and OpenCode) It does not disable thinking mode by default , and allowing the agent to run continuously for over 9 minutes without interruption . Compared to the original model, autonomy and stability are significantly improved . 💡 Model Introduction Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled is a highly capable reasoning model fine tuned on top of the powerful Qwen3.5 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. 🧠 Example of Learned Reasoning Scaffold（Exa…
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