Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+# Echo: A Large Language Model with Temporal Episodic Memory
+
+---
+
+<p align="center">
+  <img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" width="120" alt="HuggingFace Logo"/>
+</p>
+
+---
+
+<p align="center">
+  <a href="https://github.com/1920993165/echo">🛠️ <b>Code</b></a> &nbsp; | &nbsp;
+  <a href="https://huggingface.co/datasets/ALmonster/Echo-v1">📚 <b>Dataset</b></a> &nbsp; | &nbsp;
+  <a href="https://huggingface.co/ALmonster/Echo1-7B">🧠 <b>7B Model</b></a> &nbsp; | &nbsp;
+  <a href="https://huggingface.co/ALmonster/Echo1-72B">🧠 <b>72B Model</b></a>
+</p>
+
+---
+
+## 🚀 Welcome to Echo!
+
+**Echo** is a cutting-edge large language model (LLM) designed with temporal episodic memory, enabling advanced reasoning and context retention. We invite the community to explore, use, and cite our work!
+
+---
+
+## 📖 Citation
+
+If you use Echo in your research or applications, please cite us:
+
+```bibtex
+@misc{liu2025echolargelanguagemodel,
+  title={Echo: A Large Language Model with Temporal Episodic Memory},
+  author={WenTao Liu and Ruohua Zhang and Aimin Zhou and Feng Gao and JiaLi Liu},
+  year={2025},
+  eprint={2502.16090},
+  archivePrefix={arXiv},
+  primaryClass={cs.CL},
+  url={https://arxiv.org/abs/2502.16090},
+}
+```
+
+---
+
+## 🌟 Get Involved
+
+We welcome contributions, feedback, and collaboration from the community. Feel free to open issues or pull requests on our [GitHub](https://github.com/1920993165/echo)!
+
+---
+
+<p align="center">
+  <b>Empowering AI with memory. Echo: Remember, Reason, Respond.</b>
+</p>