Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+datasets:
+- Kwai-Keye/Thyme-SFT
+- Kwai-Keye/Thyme-RL
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
+pipeline_tag: image-text-to-text
+---
+<div align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/685ba798484e3233f5ff6f11/dxBp6TmwqwNuBuJR9gfQC.png" width="40%" alt="Thyme Logo">
+</div>
+
+<font size=4><div align='center' >  
+[[📖 Home Page](https://thyme-vl.github.io/)] 
+[[📖 Github Repo](https://github.com/yfzhang114/Thyme)] 
+[[📖 Technique Report](https://arxiv.org/abs/2505.02835)] 
+[[📊 Thyme SFT Model](https://huggingface.co/Kwai-Keye/Thyme-SFT)] 
+[[📊 Thyme RL Model](https://huggingface.co/Kwai-Keye/Thyme-RL)] 
+[[📝 SFT Data](https://huggingface.co/datasets/Kwai-Keye/Thyme-SFT)] 
+[[📝 RL Data](https://huggingface.co/datasets/Kwai-Keye/Thyme-RL)] 
+</div></font>
+
+## 🔥 News
+* **`2025.08.15`** 🌟 We are excited to introduce **Thyme: Think Beyond Images**. Thyme transcends traditional ``thinking with images'' paradigms by autonomously generating and executing diverse image processing and computational operations through executable code, significantly enhancing performance on high-resolution perception and complex reasoning tasks. Leveraging a novel two-stage training strategy that combines supervised fine-tuning with reinforcement learning and empowered by the innovative GRPO-ATS algorithm, Thyme achieves a sophisticated balance between reasoning exploration and code execution precision.
+
+
+We have provided the usage instructions, training code, and evaluation code in the [GitHub repo](https://github.com/yfzhang114/Thyme).
+
+## Citation
+
+If you find Thyme useful in your research or applications, please cite our paper:
+
+```bibtex
+@article{zhang2025thyme,
+  title={Thyme: Think Beyond Images},
+  author={Kwai Keye},
+  journal={arXiv preprint},
+  year={2025}
+}
+```