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Internlm Xcomposer2d5 7b Chat

Developed by internlm
InternLM-XComposer2.5-Chat is a dialogue model trained based on InternLM-XComposer2.5-7B, showing significant improvements in multimodal instruction following and open-ended dialogue capabilities.
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Release Time : 1/21/2025

Model Overview

This is a multimodal dialogue model that supports visual question answering and open-ended conversations, capable of understanding and analyzing images, video content, and engaging in natural language interactions.

Model Features

Multimodal Understanding Capability
Capable of processing and understanding images, videos, and text simultaneously
Video Content Analysis
Can analyze video frames, understanding actions and scenes within videos
High-Resolution Image Analysis
Capable of parsing detailed information in high-resolution images
Multi-Turn Dialogue Capability
Supports contextual understanding based on dialogue history

Model Capabilities

Video Content Understanding
Image Analysis
Multi-Turn Dialogue
Multimodal Instruction Following
Open-Ended Q&A

Use Cases

Content Analysis
Sports Video Analysis
Analyze sports match videos, identifying player actions and match outcomes
Can accurately identify player numbers, match results, and other key information
Vehicle Analysis
Compare the strengths and weaknesses of different vehicles
Can provide detailed analysis of various car models and their suitable scenarios
Information Extraction
Infographic Parsing
Extract structured data from complex infographics
Can accurately extract key data and facts from infographics
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