🪐 Qwopus3.6 27B v2 SFT Release Reasoning Enhanced Dense Language Model Fine Tuned on Qwen3.6 27B 🧬 Trace Inversion & Negentropy 🧠 27B Parameters 🔥 3 Stage Curriculum SFT 🛠️ Vision & Tool use Support 💡 What is Qwopus3.6 27B v2? 🪐 Qwopus3.6 27B v2 is a reasoning enhanced dense language model built on top of Qwen3.6 27B . By leveraging a multi stage curriculum learning pipeline and augmented with Trace Inversion datasets (claude opus 4.6/4.7 traceInversion), it reverse engineers the compressed "Reasoning Bubbles" of commercial LLMs into structured, step by step synthetic reasoning traces, successfully eliminating logical shortcuts and knowledge fractures. 🧩 Structured Reasoning Injects reconstructed deep CoT chains to eliminate logical shortcuts via Trace Inversion. 🪶 Style Consistency Enforces strict constraints on the format and convergence of <think> tags. 🔁 Distillation Alignment Ensures high quality cross source SFT data alignment to narrow the capacity gap. ⚡ RL Scalability Sets up a stable formatting pipeline optimized for downstream Reinforcement Learning (RL). 💡 1. Base Model, Training Library & Cooperation 🧠 1.1 Base Model Specifications (Qwen3.6 27B) Qwen3…
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