QVQ-72B-Preview
An experimental research model for visual reasoning enhancement
Product Details
QVQ-72B-Preview is an experimental research model developed by the Qwen team, focusing on enhancing visual reasoning capabilities. The model demonstrates strong capabilities in multi-disciplinary understanding and reasoning, especially achieving significant progress in mathematical reasoning tasks. Despite the progress in visual reasoning, QVQ does not completely replace the capabilities of Qwen2-VL-72B, and may gradually lose focus on image content during multi-step visual reasoning, leading to hallucinations. Furthermore, QVQ did not show significant improvements over Qwen2-VL-72B on basic recognition tasks.
Main Features
How to Use
Target Users
The target audience is researchers and developers, especially professionals seeking advanced solutions in the fields of visual reasoning, multi-disciplinary understanding, and mathematical reasoning. QVQ-72B-Preview provides a powerful tool that can help them process complex visual and textual data and promote the development of research and applications in related fields.
Examples
- Multi-disciplinary understanding and reasoning tasks on the MMMU benchmark using the QVQ-72B-Preview model.
- Leverage models to handle mathematical reasoning tasks in the MathVision benchmark.
- Apply models to solve challenging problems on OlympiadBench.
Quick Access
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