TinyGPT-V is an efficient multimodal large language model implemented using a smaller backbone network. It possesses strong language understanding and generation capabilities, making it suitable for a variety of natural language processing tasks. TinyGPT-V is based on Phi-2 as its pre-training model, boasting excellent performance and efficiency.