Update README.md

README.md

@@ -4,10 +4,13 @@ tags:
 - amd
 - llama3.1
 - RyzenAI
+- translation
 ---
 
 This model is finetuned [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) and AWQ quantized and converted version to run on the [NPU installed Ryzen AI PC](https://github.com/amd/RyzenAI-SW/issues/18), for example, Ryzen 9 7940HS Processor.  
-  
+
+Supports translation between English, French, Chinese(Mandarin) and Japanese.  
+
 For set up Ryzen AI for LLMs in window 11, see [Running LLM on AMD NPU Hardware](https://www.hackster.io/gharada2013/running-llm-on-amd-npu-hardware-19322f).  
 
 The following sample assumes that the setup on the above page has been completed.  
@@ -121,13 +124,13 @@ if __name__ == "__main__":
   print(translation("Translate Japanese to English.", "1月1日は日本の祝日です。その日は日曜日で、5日ぶりに雨が降りました"))
   print(translation("Translate English to Japanese.", "It’s raining cats and dogs."))
   print(translation("Translate French to Japanese.", "Après la pluie, le beau temps"))
-  print(translation("Translate Mandarin to Japanese.", "说曹操曹操就到"))
+  print(translation("Translate Mandarin to Japanese.", "要功夫深，铁杵磨成针"))
 
   
 
 ```
 
-![chat_image](llama-3.1.png)
+![chat_image](trans-sample.png)
 
 ## Acknowledgements
 - [amd/RyzenAI-SW](https://github.com/amd/RyzenAI-SW)  
@@ -135,4 +138,4 @@ Sample Code and Drivers.
 - [mit-han-lab/llm-awq](https://github.com/mit-han-lab/llm-awq)  
 Thanks for AWQ quantization Method.  
 - [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)  
-[Built with Meta Llama 3](https://llama.meta.com/llama3/license/)
+[Built with Meta Llama 3](https://llama.meta.com/llama3/license/)