A quantized vision-language model that accepts both text and image inputs, producing text output. The int4 AutoRound quantization reduces memory footprint compared to full-precision variants, which typically involves some trade-off in output fidelity. Published by Lorbus under an open Apache 2.0 license, making weights freely accessible.