Update README.md

README.md

@@ -7,13 +7,14 @@ license: cc-by-sa-4.0
 <!-- Provide a quick summary of what the model is/does. -->
 
 
-**slim-summary-tool** is a 4_K_M quantized GGUF version of slim-summary, providing a small, fast inference implementation, optimized for multi-model concurrent deployment.  
+**slim-summary-tool** is a 4_K_M quantized GGUF version of slim-summary, providing a small, fast inference implementation, optimized for multi-model concurrent deployment, to provide high-quality summarizations of complex business documents, on a small, specialized locally-deployable model.  
 
-The size of the self-contained GGUF model binary is 1.71 GB, which is small enough to run locally on a CPU with reasonable inference speed.  
+The size of the self-contained GGUF model binary is 1.71 GB, which is small enough to run locally on a CPU with reasonable inference speed, and has been optimized to maximize high-quality with the ability to deploy on a local machine.  
 
 The model takes as input a text passage, an optional parameter with a focusing phrase or query, and an experimental optional (N) parameter, which is used to guide the model to a specific number of items return in a summary list.  
 
-[**slim-summary**](https://huggingface.co/llmware/slim-summary) is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") series, providing a set of small, specialized decoder-based LLMs, fine-tuned for function-calling.
+Please see the usage notes at:  [**slim-summary**](https://huggingface.co/llmware/slim-summary) 
+
 
 To pull the model via API: