A compact, openly licensed text model from K-intelligence that handles instruction-following tasks within a 32k token context window. Its open-weight nature means developers can inspect, fine-tune, and deploy it locally without API dependencies. As a 'Mini' variant, it trades raw capacity for efficiency and accessibility.