Developed by the DAMO-NLP-SG team, VideoLLaMA2-7B is a multimodal large language model focused on video content understanding and generation. This model demonstrates significant performance in video question answering and video captioning, capable of handling complex video content and generating accurate and natural language descriptions. It has been optimized for spatio-temporal modeling and audio understanding, providing powerful support for intelligent analysis and processing of video content.