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Running on Zero
| title: ReToken Visual Retrieval | |
| emoji: 🔍 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.15.1 | |
| app_file: app.py | |
| short_description: VLM with learned retrieval token for visual retrieval | |
| python_version: "3.12" | |
| startup_duration_timeout: 30m | |
| # ReToken: One Token to Improve Vision-Language Models for Visual Retrieval | |
| This Space demonstrates **ReToken-Qwen3VL-8B**, a vision-language model augmented with a learned retrieval token for improved visual retrieval. The model is based on Qwen3-VL-8B and was trained with a single retrieval token that reads out the retrieval signal from the attention value space. | |
| ## Usage | |
| Upload an image and ask a question about it. The model will answer using its fine-tuned visual understanding capabilities. | |
| ## References | |
| - [Paper (arXiv:2607.28627)](https://arxiv.org/abs/2607.28627) | |
| - [GitHub Repository](https://github.com/avaxiao/ReToken) | |
| - [Model on Hugging Face](https://huggingface.co/AvaXiao/ReToken-Qwen3VL-8B) |