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Internvl3 78B Instruct

Developed by OpenGVLab
InternVL3-78B-Instruct is an advanced multimodal large language model developed by OpenGVLab, demonstrating exceptional multimodal perception and reasoning capabilities, supporting various tasks such as tool usage, GUI agents, industrial image analysis, and 3D visual perception.
Downloads 345
Release Time : 4/16/2025

Model Overview

InternVL3-78B-Instruct is a multimodal large language model based on native multimodal pretraining and SFT, featuring robust multimodal understanding and reasoning abilities, suitable for various vision and language tasks.

Model Features

Native Multimodal Pretraining
Integrates language and visual learning into a single pretraining phase, enhancing multimodal task handling capabilities.
Dynamic Resolution Strategy
Supports multiple images and video data, processing images in 448×448 pixel blocks.
Variable Visual Position Encoding (V2PE)
Uses smaller, more flexible position increments to process visual tokens, improving long-context understanding.
Mixed Preference Optimization (MPO)
Aligns model response distributions through positive and negative sample supervision, enhancing reasoning performance.

Model Capabilities

Multimodal Reasoning
OCR and Document Understanding
Multi-Image Understanding
Visual Localization
Multilingual Understanding
Video Understanding
GUI Localization
Spatial Reasoning

Use Cases

Industrial Image Analysis
Industrial Defect Detection
Detects defects in industrial products through image analysis.
High-precision defect identification, improving production efficiency.
3D Visual Perception
3D Scene Understanding
Understands and analyzes objects and relationships in 3D scenes.
Enhances semantic understanding of 3D scenes.
GUI Operations
Automated GUI Testing
Automates GUI interface testing through visual understanding.
Improves testing efficiency and coverage.
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