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VideoLLaMA3

A leading multimodal model family for video understanding

Representative models
2B / 7B
Platform
Hugging Face
Direction
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

  1. 2025
    VideoLLaMA3 model line released

Resources

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