Update README.md

README.md

@@ -7,7 +7,7 @@ inference: false
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**slim-ner** is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") model series, consisting of small, specialized decoder-based models, fine-tuned for function-calling.  
+**slim-ner** is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") model series, consisting of 1b parameter small, specialized decoder-based models, fine-tuned for function-calling.  
 
 slim-ner has been fine-tuned for **named entity extraction** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:  
 
@@ -15,6 +15,8 @@ slim-ner has been fine-tuned for **named entity extraction** function calls, gen
 
 SLIM models are designed to generate structured outputs that can be used programmatically as part of a multi-step, multi-model LLM-based automation workflow.  
 
+SLIM models can be used 'out of the box' for rapid prototyping in most general purpose use cases, and are designed to serve as a solid base that can be easily fine-tuned and adapted for specialized production use cases.  
+
 Each slim model has a 'quantized tool' version, e.g.,  [**'slim-ner-tool'**](https://huggingface.co/llmware/slim-ner-tool).