InternVL2_5-8B is a multimodal large language model (MLLM) developed by OpenGVLab, significantly enhanced with training and testing strategies as well as data quality improvements based on InternVL 2.0. This model employs the 'ViT-MLP-LLM' architecture, integrating the newly pre-trained InternViT with various pre-trained language models, such as InternLM 2.5 and Qwen 2.5, utilizing a randomly initialized MLP projector. The InternVL 2.5 series models demonstrate outstanding performance on multimodal tasks, including image and video understanding and multilingual comprehension.