Update README.md

README.md

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-license: apache-2.0
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-
-<div align=center>
-
-## ⚡️ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
-[![arXiv](https://img.shields.io/badge/arXiv-2502.14637-b31b1b?style=flat&logo=arxiv)](https://arxiv.org/abs/2502.14637)
-[![Github](https://img.shields.io/badge/Github-Code-blue?style=flat&logo=github)](https://github.com/AngxiaoYue/ReQFlow)
-[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Model-orange?style=flat&logo=huggingface)](https://huggingface.co/AngxiaoYue/ReQFlow/tree/main)
-
-</div>
-
-Our **ReQFlow** achieves **state-of-the-art (SOTA)** performance 🎯 in protein backbone generation while requiring significantly fewer sampling steps and substantially reducing inference time. For example, it is **37×** faster than RFDiffusion and **62×** faster than Genie2 when generating a backbone of length 300, demonstrating both its effectiveness and efficiency 🚀🚀🔥.
-<p align="center" style="margin-bottom: -2.8px;">
-  <img src="assets/scheme_reqflow.png" width="64.4%">
-  <img src="assets/log_speed_10_v2.png" width="30%">
-</p>
-<p align="center" style="margin-top: 0px;">
-  <img src="assets/prot_vis.png" width="95%">
-</p>
-Ready to dive in? We’ve got checkpoints and step-by-step guides to get you inferencing in no time—playtime starts now! ✨
-
-## 🚀🚀🔥
-🔗arxiv link: [https://arxiv.org/abs/2502.14637](https://arxiv.org/abs/2502.14637)
-
-🌳github link: [https://github.com/AngxiaoYue/ReQFlow](https://github.com/AngxiaoYue/ReQFlow)
+---
+license: apache-2.0
+tags:
+- flow-matching
+- diffusion
+- generative-ai
+- biology
+- chemistry
+---
+
+## ⚡️ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
+[![arXiv](https://img.shields.io/badge/arXiv-2502.14637-b31b1b?style=flat&logo=arxiv)](https://arxiv.org/abs/2502.14637)
+[![Github](https://img.shields.io/badge/Github-Code-blue?style=flat&logo=github)](https://github.com/AngxiaoYue/ReQFlow)
+[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Model-orange?style=flat&logo=huggingface)](https://huggingface.co/AngxiaoYue/ReQFlow/tree/main)
+
+
+Our **ReQFlow** achieves **state-of-the-art (SOTA)** performance 🎯 in protein backbone generation while requiring significantly fewer sampling steps and substantially reducing inference time. For example, it is **37×** faster than RFDiffusion and **62×** faster than Genie2 when generating a backbone of length 300, demonstrating both its effectiveness and efficiency 🚀🚀🔥.
+<p align="center" style="margin-bottom: -2.8px;">
+  <img src="assets/scheme_reqflow.png" width="64.4%">
+  <img src="assets/log_speed_10_v2.png" width="30%">
+</p>
+<p align="center" style="margin-top: 0px;">
+  <img src="assets/prot_vis.png" width="95%">
+</p>
+Ready to dive in? We’ve got checkpoints and step-by-step guides to get you inferencing in no time—playtime starts now! ✨
+
+## 🚀🚀🔥
+🔗arxiv link: [https://arxiv.org/abs/2502.14637](https://arxiv.org/abs/2502.14637)
+
+🌳github link: [https://github.com/AngxiaoYue/ReQFlow](https://github.com/AngxiaoYue/ReQFlow)