The InternVL2_5-8B-MPO-AWQ is a multimodal large language model launched by OpenGVLab, based on the InternVL2.5 series and utilizing Mixed Preference Optimization (MPO) technology. This model demonstrates exceptional performance in understanding and generating both visual and language content, particularly excelling in multimodal tasks. It combines the visual component InternViT with the linguistic component InternLM or Qwen, employing a randomly initialized MLP projector for incremental pre-training, enabling in-depth understanding and interaction with images and texts. The significance of this technology lies in its capacity to handle various data types, including single images, multiple images, and video data, providing new solutions for the multimodal AI field.