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Videochat TPO

Developed by OpenGVLab
A multimodal large language model developed based on the paper 'Task Preference Optimization: Improving Multimodal Large Language Models through Visual Task Alignment'
Downloads 18
Release Time : 12/18/2024

Model Overview

VideoChat2-TPO is a multimodal large language model focused on video-text interaction tasks, enhancing visual task alignment through task preference optimization techniques.

Model Features

Task Preference Optimization
Improves the performance of multimodal large language models through visual task alignment techniques
Multimodal Interaction
Supports bidirectional understanding and generation between video and text
Based on Mistral Architecture
Optimized based on the powerful Mistral-7B-Instruct model

Model Capabilities

Video content understanding
Video text generation
Multimodal dialogue
Visual task alignment

Use Cases

Video content analysis
Video summarization generation
Automatically generates text summaries based on video content
Video question-answering system
Answers natural language questions about video content
Multimodal interaction
Video dialogue system
Engages in natural language dialogue based on video content
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