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Videomind 2B FT QVHighlights

Developed by yeliudev
VideoMind is a multimodal intelligent agent framework that enhances video reasoning ability by simulating human-like cognitive processes.
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Release Time : 3/24/2025

Model Overview

VideoMind is a multimodal intelligent agent framework that enhances video reasoning ability by simulating human-like cognitive processes (such as task decomposition, moment localization and verification, and answer synthesis).

Model Features

Simulation of human-like cognitive processes
Enhance video reasoning ability through human-like cognitive processes such as task decomposition, moment localization and verification, and answer synthesis.
Multimodal intelligent agent framework
Support multimodal input of video and text to achieve more comprehensive video understanding.
LoRA chained intelligent agent
Adopt LoRA chained intelligent agent technology to optimize long video reasoning ability.

Model Capabilities

Video reasoning
Multimodal understanding
Task decomposition
Moment localization and verification
Answer synthesis

Use Cases

Video analysis
Highlight extraction
Extract key highlight moments from long videos and generate concise text descriptions.
Video content summarization
Summarize video content and generate short text summaries.
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