Xiaomi Releases MiMo-V2.6-Distill-Qwen-9B Open-Weights Model
Xiaomi's MiMo team has released MiMo-V2.6-Distill-Qwen-9B, a new open-weights model distilled onto a 9-billion parameter Qwen base model. The release was posted to Hugging Face and shared among open-source AI enthusiasts on r/LocalLLaMA. Distilling advanced capabilities from larger models into a compact 9B parameter size enables efficient local deployment on consumer hardware. It highlights the growing trend of combining strong open-source base models with specialized distillation techniques to boost efficiency. The model uses Alibaba's Qwen 9B architecture as the student model, distilled with reasoning methodologies from Xiaomi's MiMo project. However, the initial announcement lacked detailed benchmark scores and evaluation datasets.
## BACKGROUND
Xiaomi's MiMo is a family of language models designed to unlock reasoning capabilities through specialized training techniques. Knowledge distillation is a machine learning process where a smaller student model is trained to copy the behavior and performance of a larger teacher model.