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Internvl3 1B Instruct

Developed by OpenGVLab
InternVL3-1B-Instruct is the supervised fine-tuned version of the InternVL3 series, based on native multimodal pretraining, with exceptional multimodal perception and reasoning capabilities.
Downloads 705
Release Time : 4/16/2025

Model Overview

InternVL3-1B-Instruct is an advanced multimodal large language model that supports joint understanding and reasoning of multiple modalities such as images, text, and videos, suitable for complex multimodal tasks.

Model Features

Native Multimodal Pretraining
Integrates language and visual learning into a single pretraining phase, enhancing multimodal representation capabilities.
Variable Visual Position Encoding (V2PE)
Uses smaller, more flexible position increments to represent visual tokens, improving long-context understanding.
Dynamic Resolution Strategy
Divides images into 448ร—448 pixel patches, supporting multi-image and video data.
Mixed Preference Optimization (MPO)
Improves model reasoning performance through additional supervision from positive and negative samples.

Model Capabilities

Multimodal Reasoning
Image Understanding
Text Generation
Video Understanding
OCR
Chart Understanding
Document Understanding
GUI Localization
Spatial Reasoning

Use Cases

Multimodal Reasoning
Complex Question Answering
Combines image and text information for reasoning and answering complex questions.
Performs excellently in multiple benchmark tests.
Document Understanding
Document Content Extraction
Extracts text and structured information from scanned documents or images.
Supports high-quality OCR and document analysis.
GUI Operations
Interface Automation
Understands and operates graphical user interfaces (GUIs).
Can be used for automated testing and assistive tool development.
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