Improve language tag

README.md

@@ -1,34 +1,53 @@
----
-license: apache-2.0
-inference: false 
-base_model: Qwen/Qwen2.5-1.5B-Instruct    
-base_model_relation: quantized  
-tags: [green, llmware-chat, p1, ov, emerald]
----
-
-# qwen2.5-1.5b-instruct-ov
-
-**qwen2.5-1.5b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2.5-1.5B-Instruct](https://www.huggingface.co/Qwen/Qwen2.5-1.5B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
-
-This is from the latest release series from Qwen, and is the most popular overall model in the series.  
-
-### Model Description
-
-- **Developed by:** Qwen
-- **Quantized by:** llmware  
-- **Model type:** qwen2.5
-- **Parameters:** 1.5 billion  
-- **Model Parent:** Qwen/Qwen2.5-1.5B-Instruct  
-- **Language(s) (NLP):** English  
-- **License:** Apache 2.0  
-- **Uses:** Chat, general-purpose LLM  
-- **Quantization:** int4  
-  
-
-## Model Card Contact  
-
-[llmware on github](https://www.github.com/llmware-ai/llmware) 
-
-[llmware on hf](https://www.huggingface.co/llmware)  
-
-[llmware website](https://www.llmware.ai)  
+---
+license: apache-2.0
+inference: false
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+base_model_relation: quantized
+tags:
+- green
+- llmware-chat
+- p1
+- ov
+- emerald
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# qwen2.5-1.5b-instruct-ov
+
+**qwen2.5-1.5b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2.5-1.5B-Instruct](https://www.huggingface.co/Qwen/Qwen2.5-1.5B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
+
+This is from the latest release series from Qwen, and is the most popular overall model in the series.  
+
+### Model Description
+
+- **Developed by:** Qwen
+- **Quantized by:** llmware  
+- **Model type:** qwen2.5
+- **Parameters:** 1.5 billion  
+- **Model Parent:** Qwen/Qwen2.5-1.5B-Instruct  
+- **Language(s) (NLP):** English  
+- **License:** Apache 2.0  
+- **Uses:** Chat, general-purpose LLM  
+- **Quantization:** int4  
+  
+
+## Model Card Contact  
+
+[llmware on github](https://www.github.com/llmware-ai/llmware) 
+
+[llmware on hf](https://www.huggingface.co/llmware)  
+
+[llmware website](https://www.llmware.ai)