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glab-caltech/TWIN-Qwen2.5-VL-3B
TWIN-Qwen2.5-VL-3B is a image-text-to-text model from glab-caltech. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
This is the Qwen2.5-VL-3B-Instruct model post-trained on the TWIN dataset from the paper: Same or Not? Enhancing Visual Perception in Vision-Language Models
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From the Hugging Face model README
This is the Qwen2.5-VL-3B-Instruct model post-trained on the TWIN dataset from the paper: Same or Not? Enhancing Visual Perception in Vision-Language Models
For further information please refer to the project webpage, paper, and repository.
If you use TWIN in your research, please consider citing our work:
BibTeX:
@misc{marsili2025notenhancingvisualperception,
title={Same or Not? Enhancing Visual Perception in Vision-Language Models},
author={Damiano Marsili and Aditya Mehta and Ryan Y. Lin and Georgia Gkioxari},
year={2025},
eprint={2512.23592},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2512.23592},
}
The dataset is derived from the UCSD Amazon Reviews’23 dataset. Use is permitted for research and educational purposes only. By using this dataset, you agree to respect the rights of original content owners and comply with applicable terms of service.