Update README.md

README.md

@@ -22,6 +22,7 @@ Dedicated to building a more intuitive, comprehensive, and efficient LLMs compre
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+  📱 <a href="https://huggingface.co/AngelSlim/Hy-MT1.5-1.8B-2bit-GGUF/resolve/main/Hy-MT-demo.apk?download=true">Android Demo</a>&nbsp;&nbsp; | &nbsp;&nbsp;
   📣 <a href="https://huggingface.co/AngelSlim/Hy-MT1.5-1.8B-2bit-GGUF">GGUF</a>&nbsp;&nbsp; | &nbsp;&nbsp;
   ✒️ <a href="https://arxiv.org/abs/2602.21233">AngelSlim Report</a>&nbsp;&nbsp; | &nbsp;&nbsp;
   📖 <a href="https://angelslim.readthedocs.io/">Documentation</a>&nbsp;&nbsp; | &nbsp;&nbsp;
@@ -37,7 +38,7 @@ Dedicated to building a more intuitive, comprehensive, and efficient LLMs compre
 </p>
 
 ## 📣 Latest News
-- [26/04/29] We have released **Hy-MT1.5-1.8B-2bit (574MB)** and **Hy-MT1.5-1.8B-1.25bit (440MB)**, on-device translation models supporting 33 languages, with both weights and GGUF formats available.
+- [26/04/29] We have released **Hy-MT1.5-1.8B-2bit (574MB)** and **Hy-MT1.5-1.8B-1.25bit (440MB)**, on-device translation models supporting 33 languages, with both weights and GGUF formats available. We also have made an [Android Demo](https://huggingface.co/AngelSlim/Hy-MT1.5-1.8B-2bit-GGUF/resolve/main/Hy-MT-demo.apk?download=true) for you to try out. We invite you to give it a spin! 🔥🔥🔥
 - [26/02/09] We have released HY-1.8B-2Bit, 2-bit on-device large language model.
 - [26/01/13] We have released v0.3. We support the training and deployment of Eagle3 for all-scale LLMs/VLMs/Audio models. And we released **Sherry**, the hardware-efficient 1.25-bit quantization algorithm [[Paper]](https://arxiv.org/abs/2601.07892) | [[Code]](https://github.com/Tencent/AngelSlim/tree/sherry/Sherry)