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Internlm Xcomposer2d5 7b

Developed by internlm
InternLM-XComposer2.5 is an outstanding image-text understanding and creation model that achieves GPT-4V level capabilities with just 7 billion parameters, supporting long-context window expansion.
Downloads 1,501
Release Time : 7/2/2024

Model Overview

The model was trained on 24,000 interleaved image-text contexts and can extend to a 96,000-long context window through RoPE extrapolation technology, performing exceptionally well in scenarios requiring extensive input-output contexts.

Model Features

Powerful image-text understanding
Achieves GPT-4V level image-text understanding with only 7 billion parameters
Long-context processing
Can extend to a 96,000-long context window through RoPE extrapolation technology
Multimodal support
Supports understanding and analysis of various media formats including images and videos
Webpage generation capability
Can generate complete webpage code based on instructions, resumes, or screenshots

Model Capabilities

Video content understanding
Multi-image multi-turn dialogue
High-definition image analysis
Instruction-based webpage generation
Resume-to-webpage conversion
Screenshot-to-webpage conversion

Use Cases

Content understanding
Video content analysis
Analyze video frames and describe video content in detail
Can accurately identify athletes, game scenes, and key details in videos
Multi-image comparative analysis
Compare multiple images and provide recommendations
Can analyze advantages and disadvantages of different vehicles and provide purchase suggestions
Webpage generation
Instruction-based webpage generation
Generate complete webpage code from natural language instructions
Produces HTML code for research institution websites that meets requirements
Resume-to-webpage conversion
Convert Markdown format resumes into personal webpages
Generates aesthetically pleasing personal resume webpages
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