VideoLLaMA2-7B-16F-Base is a large video language model developed by the DAMO-NLP-SG team, focusing on Visual Question Answering (VQA) and video subtitling generation. Combining advanced space-time modeling and audio understanding capabilities, it provides strong support for multi-modal video content analysis. It demonstrates excellent performance in visual question answering and video subtitling generation tasks, capable of handling complex video content and generating accurate descriptions and answers.