Update README.md

README.md

@@ -8,7 +8,7 @@ tags: [green, p1, llmware-fx, ov, emerald]
 
 **slim-extract-qwen-1.5b-ov** is a specialized function calling model with a single mission to look for values in a text, based on an "extract" key that is passed as a parameter.  No other instructions are required except to pass the context passage, and the target key, and the model will generate a python dictionary consisting of the extract key and a list of the values found in the text, including an 'empty list' if the text does not provide an answer for the value of the selected key.  
 
-This is an OpenVino int4 quantized version of slim-extract-tiny, 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-extract-qwen-1.5b, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
 
 
 ### Model Description