VideoLLaMA2-7B-Base, developed by DAMO-NLP-SG, is a large video language model focused on understanding and generating video content. This model demonstrates exceptional performance in visual question answering and video captioning. Through advanced spatiotemporal modeling and audio understanding capabilities, it provides users with a new tool for analyzing video content. Based on the Transformer architecture, it can process multi-modal data, combining textual and visual information to generate accurate and insightful outputs.