🌟 Qwen3.5 9B Gemini 3.1 Pro Reasoning Distill 💡 Model Introduction Qwen3.5 9B Gemini 3.1 Pro Reasoning Distill is a reasoning model fine tuned on top of Qwen3.5 9B . The model is primarily optimized through high density reasoning distillation sourced from Gemini 3.1 , while also incorporating additional reasoning traces distilled from Qwen3.5 27B and a broader Gemini 3.0 Pro reasoning corpus. Through Supervised Fine Tuning focused on structured analytical behavior, this model aims to reshape the base model’s reasoning style into a more coherent, better organized, and higher density Chain of Thought (CoT) pattern. It is especially designed to improve decomposition, planning, abstraction, and response cleanliness on complex multi step tasks. 🧠 Example of Learned Reasoning Scaffold This model inherits a more structured reasoning style influenced by Gemini 3.1 style analytical planning . Compared with more loosely exploratory reasoning patterns, this model tends to organize the problem before answering: 🗺️ Training Pipeline Overview 📋 Stage Details 🔹 Supervised Fine Tuning (SFT) Objective: Objective: To inject reasoning behavior into Qwen3.5 9B and strengthen its performance on c…
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