TinyGPT-V is an efficient multimodal LLM that processes both text and images using compact backbone architectures. The project provides training code, pretrained model weights on HuggingFace, and interactive demo spaces for model evaluation. According to the authors, it achieves approximately 98% of InstructBLIP’s performance while using smaller model components.