Upload README.md

README.md

@@ -1,28 +1,33 @@
 ---
-license: apache-2.0
-inference: false 
-tags: [green, p1, llmware-fx, ov, emerald]
+license: gemma
+inference: false
+tags:
+- green
+- p7
+- llmware-chat
+- ov
 ---
 
-# slim-summary-tiny-ov  
+# gemma-7b-it-ov
 
-**slim-summary-tiny-ov** is a specialized function calling model that summarizes a given text and generates as output a Python list of summary points.   
+**gemma-7b-it-ov** is an OpenVino int4 quantized version of Google's Gemma-7B with Instruct Training (IT), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
 
-This is an OpenVino int4 quantized version of slim-summary-tiny, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
+[**gemma-7b-it-ov**](https://huggingface.co/google/gemma-7b-it) is a leading open source foundation chat model from Google.  
 
 
 ### Model Description
 
-- **Developed by:** llmware  
-- **Model type:** tinyllama  
-- **Parameters:** 1.1 billion
-- **Model Parent:** llmware/slim-summary-tiny
+- **Developed by:** Google
+- **Quantized by:** llmware
+- **Model type:** gemma-7b  
+- **Parameters:** 7 billion
+- **Model Parent:** google/gemma-7b-it  
 - **Language(s) (NLP):** English  
 - **License:** Apache 2.0  
-- **Uses:** Summary bulletpoints extracted from complex business documents    
+- **Uses:** General purpose chat 
 - **RAG Benchmark Accuracy Score:** NA  
 - **Quantization:** int4  
-    
+  
 
 ## Model Card Contact
 
@@ -30,4 +35,4 @@ This is an OpenVino int4 quantized version of slim-summary-tiny, providing a ver
 
 [llmware on hf](https://www.huggingface.co/llmware)  
 
-[llmware website](https://www.llmware.ai)  
+[llmware website](https://www.llmware.ai)