A mid-sized multimodal model that handles both text and image inputs, quantized to 4-bit precision for efficient local deployment via MLX. The compression makes it more accessible on consumer hardware, though some capability may be traded for the reduced memory footprint. It operates in a thinking-optional style typical of the Qwen3 family, balancing reasoning depth with practical resource constraints.