Update README.md

README.md

@@ -1,15 +1,15 @@
 ---
-license: apache-2.0
-inference: false 
+license: llama2
+inference: false
 ---
 
-# bling-tiny-llama-ov
+# llama-2-chat-ov
 
 <!-- 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-ov** is an OpenVino int4 quantized version of Llama-2-Chat, providing a very fast, very 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.  
+[**llama-2-chat**](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) is the official chat finetuned version of Llama2.  
 
 Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) 
 
@@ -19,13 +19,13 @@ Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmwa
 ### Model Description
 
 - **Developed by:** llmware  
-- **Model type:** tinyllama  
-- **Parameters:** 1.1 billion
-- **Model Parent:** llmware/bling-tiny-llama-v0  
+- **Model type:** llama2
+- **Parameters:** 7 billion
+- **Model Parent:** meta-llama/Llama-2-7b-chat-hf  
 - **Language(s) (NLP):** English  
 - **License:** Apache 2.0  
-- **Uses:** Fact-based question-answering  
-- **RAG Benchmark Accuracy Score:** 86.5  
+- **Uses:** Chat and general purpose LLM
+- **RAG Benchmark Accuracy Score:** NA  
 - **Quantization:** int4  
   
 
@@ -33,4 +33,4 @@ Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmwa
 
 [llmware on hf](https://www.huggingface.co/llmware)  
 
-[llmware website](https://www.llmware.ai)  
+[llmware website](https://www.llmware.ai)