A compact text model built through knowledge distillation from a larger Qwen3.5 family model, meaning it packs learned behaviors into a smaller footprint. It handles text-in, text-out tasks and carries the open-weight Apache 2.0 license, making it freely modifiable and redistributable. Its distilled nature means it trades some raw capability for efficiency and deployability.