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VLM R1 Qwen2.5VL 3B Math 0305

Developed by omlab
A vision-language model based on Qwen2.5-VL-3B-Instruct, enhanced with mathematical capabilities and trained using VLM-R1 reinforcement learning, specializing in solving math-related visual question answering tasks.
Downloads 397
Release Time : 3/5/2025

Model Overview

This model combines visual understanding and language generation capabilities, specifically optimized for solving mathematical problems, capable of handling complex questions involving mathematical formulas, charts, and images.

Model Features

Math Enhancement
Specifically optimized for solving mathematical problems, capable of understanding mathematical formulas, charts, and images.
Reinforcement Learning Training
Trained using the VLM-R1 reinforcement learning method, improving model performance.
Vision-Language Understanding
Combines visual and language understanding capabilities to process complex multimodal inputs.

Model Capabilities

Visual Question Answering
Mathematical Problem Solving
Chart Comprehension
Multimodal Reasoning

Use Cases

Education
Math Problem Solving
Helps students understand and solve math problems involving charts and formulas.
Improves math learning efficiency and depth of understanding.
Academic Research
Scientific Paper Analysis
Interprets mathematical formulas and charts in research papers.
Assists researchers in quickly understanding complex content.
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