This blog post introduces a novel training algorithm called Unified Reinforcement and Imitation Learning (RIL) for Vision-Language Models (VLMs). It combines reinforcement learning with imitation learning to develop lightweight, efficient VLMs capable of emulating sophisticated text generation of larger models while improving their capabilities. The results demonstrate significant performance improvements, making these models competitive with both open-source and closed-source VLMs.