A compact multimodal model fine-tuned by z-lab on top of Qwen3.5's 9B foundation, PARO brings image understanding alongside text reasoning in a relatively small package. It handles visual inputs with reasonable competence while staying lightweight enough for local deployment. The fine-tuning focus gives it a more specialized character than the base model, though its 9B parameter count means it trades raw capability headroom for accessibility.