Update README.md

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 
-**bling-tiny-llama-ov** is an OpenVino int4 quantized version of BLING Tiny-Llama 1B, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
+**llama-2-chat-onnx** is an ONNX int4 quantized version of Llama-2-Chat, providing a fast, small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
 
-[**bling-tiny-llama**](https://huggingface.co/llmware/bling-tiny-llama-v0) 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)    
+[**llama-2-chat**](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) is the official chat finetune of the classic Llama 2 model, one of the most most iconic (and still one the best) 7B instruct trained models.   
 
 
 ### Model Description
 
-- **Developed by:** llmware  
-- **Model type:** tinyllama  
-- **Parameters:** 1.1 billion
-- **Model Parent:** llmware/bling-tiny-llama-v0  
+- **Developed by:** meta-llama
+- **Model type:** llama2
+- **Parameters:** 7 billion
+- **Model Parent:** meta-llama/Llama-2-7b-chat-hf 
 - **Language(s) (NLP):** English  
-- **License:** Apache 2.0  
+- **License:** Llama-2 Community License
 - **Uses:** Fact-based question-answering  
-- **RAG Benchmark Accuracy Score:** 86.5  
+- **RAG Benchmark Accuracy Score:** NA
 - **Quantization:** int4  
   
 
 ## Model Card Contact
 
+[llmware on github](https://www.github.com/llmware-ai/llmware.git)  
+
 [llmware on hf](https://www.huggingface.co/llmware)  
 
-[llmware website](https://www.llmware.ai)
+[llmware website](https://www.llmware.ai)