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Qwen2.5 VL 3B UI R1

Developed by LZXzju
UI-R1 is a vision-language model enhanced by reinforcement learning for GUI agent action prediction, built upon Qwen2.5-VL-3B-Instruct.
Downloads 96
Release Time : 3/17/2025

Model Overview

This model focuses on improving GUI agent action prediction capabilities through reinforcement learning, suitable for visual question answering tasks.

Model Features

Reinforcement Learning Enhancement
Optimizes GUI agent action prediction capabilities through reinforcement learning.
Vision-Language Understanding
Integrates visual and linguistic information for comprehensive understanding and reasoning.
GUI Interaction Optimization
Focuses on improving the interaction experience of graphical user interfaces.

Model Capabilities

Visual Question Answering
GUI Action Prediction
Multimodal Understanding

Use Cases

Human-Computer Interaction
Smart Assistant
Assists users in completing GUI operations through visual understanding.
Improves operational efficiency and accuracy.
Automated Testing
Automatically identifies and operates GUI elements for software testing.
Reduces manual testing workload.
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