architecture-optimization

MiniCPM-V 4.5 is an 8B multimodal large language model that achieves high efficiency and strong performance through a unified 3D-Resampler architecture, a novel data strategy, and a hybrid reinforcement learning approach. The model reportedly surpasses larger proprietary and open-source benchmarks while significantly reducing GPU memory usage and inference time.