🌟 Qwen3.5 9B DeepSeek V4 Flash 💡 Model Overview & Design [!NOTE] Qwen3.5 9B DeepSeek V4 Flash is an efficient reasoning model distilled using high quality data from DeepSeek V4 . By leveraging the dataset Jackrong/DeepSeek V4 Distill 8000x , this model successfully transfers the advanced structured reasoning and multi step problem solving capabilities of the DeepSeek V4 architecture into the highly efficient Qwen3.5 9B parameter space. This model was trained in an Unsloth environment, prioritizing stable gradient propagation and rigorous data curation to ensure the distillation process avoids merely learning "hollow chain of thought" and instead captures genuine logical generalization. Designed for: 🧩 Structured Reasoning : Inheriting DeepSeek V4's deep logic capabilities. ⚡ Flash Inference : Maintaining the token efficiency and speed of the 9B parameter size. 🔧 Tool augmented Workflows : Reliable agentic action generation. 🍎 About the Teacher Model: DeepSeek V4 DeepSeek V4 is the latest flagship open source model series from DeepSeek, engineered for extreme efficiency, million token long context (1M), and advanced Agentic workflows. As the source for this distillation, DeepSe…
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