🌟 Qwopus3.6 35B A3B v1 💡 Base Model Overview Qwen3.6 35B A3B is an advanced hybrid sparse MoE (Mixture of Experts) model developed by Alibaba Cloud. It features 35B total parameters with only 3B active parameters per token, ensuring high inference efficiency. Architecturally, it combines Gated DeltaNet linear attention with standard gated attention layers, routing tokens across 256 experts . It natively supports a massive 262k context window and is specifically designed for high performance agentic coding, deep reasoning, and multimodal tasks. 🚀 Model Refinement & Logic Tuning （Qwopus3.6 35B A3B v1） 🪐 Qwopus3.6 35B A3B v1 is a reasoning enhanced MoE (Mixture of Experts) model fine tuned on top of Qwen3.6 35B A3B . 🛠 Training Strategy The fine tuning process for this model is structured into three distinct stages of distributed SFT (Supervised Fine Tuning) , progressively scaling reasoning complexity and data diversity. This systematic approach ensures the model inherits the base MoE capabilities while sharpening its logic handling depth. Looking ahead, Reinforcement Learning (RL) training will be introduced in subsequent versions to further optimize the reasoning paths and ali…
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