Community Project Profile
VideoLLaMA3
A leading multimodal model family for video understanding
- Organisation
- Alibaba DAMO-NLP-SG
- Group
- International corporate lab
- Category
- Video-understanding multimodal model
- Status
- Models published
- Started
- 2025
- Language / Form
- Models
- Updated
- 2026-05-04
VideoLLaMA3 is a video-understanding model line from Alibaba DAMO-NLP-SG, focused on multimodal tasks such as long video, image, and visual question answering.
What It Is
VideoLLaMA3 is a set of multimodal models published on Hugging Face, with common 2B and 7B versions. It serves video and image understanding: answering questions, extracting information, and understanding temporal events from visual content.
Unlike video generation, its emphasis is on understanding video.
AI Relevance
Video understanding is a base capability for AI applications. Safety inspection, education-content analysis, meeting and media search, and robotics perception all require models to handle long temporal visual information.
VideoLLaMA3 represents fast corporate-lab progress in open video-understanding models.
Singapore Relevance
DAMO-NLP-SG is Alibaba DAMO Academy’s language-technology lab in Singapore. VideoLLaMA3 places it not only in NLP, but also in the multimodal video-model ecosystem.
Projects like this help track how Singapore hosts global AI research networks from Chinese technology companies.
Milestones
- 2025VideoLLaMA3 model line released