Update README.md

README.md

@@ -8,30 +8,29 @@ tags: [green, llmware-rag, p7,ov]
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**dragon-qwen-7b-ov** is an OpenVino int4 quantized version of dragon-qwen-7b, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
+**dragon-qwen-7b-ov** is an OpenVino int4 quantized version of dragon-qwen-7b, providing a very fast inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
 
 [**dragon-qwen-7b**](https://huggingface.co/llmware/dragon-qwen-7b) is a fact-based question-answering model, optimized for complex business documents.  
 
-Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) 
-
-Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai)    
-
+This is a very accurate model and a new release based on Qwen2.  
 
 ### Model Description
 
 - **Developed by:** llmware  
 - **Model type:** qwen2-7b  
-- **Parameters:** 7 billion
+- **Parameters:** 7 billion  
 - **Model Parent:** llmware/dragon-qwen-7b  
 - **Language(s) (NLP):** English  
 - **License:** Apache 2.0  
 - **Uses:** Fact-based question-answering  
-- **RAG Benchmark Accuracy Score:** 99.5  
+- **RAG Benchmark Accuracy Score:** 99.0  
 - **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)