A compact multimodal model that handles both text and image inputs, producing text outputs. It carries Google's Gemma 3 architecture compressed via quantization-aware training (QAT) with compressed tensors, meaning it trades some fidelity for a smaller memory footprint. Expect behavior consistent with the base Gemma 3 4B instruction-tuned model, but in a more resource-efficient package.