Update README.md

README.md

@@ -9,11 +9,11 @@ inference: false
 
 **slim-sentiment** is part of the SLIM ("Structured Language Instruction Model") model series, providing a set of small, specialized decoder-based LLMs, fine-tuned for function-calling.  
 
-slim-sentiment has been fine-tuned for **sentiment analysis** function calls, generating output consisting of a python dictionary corresponding to specified keys.  
-
+slim-sentiment has been fine-tuned for **sentiment analysis** function calls, generating output consisting of a python dictionary corresponding to specified keys, e.g.:  
+    {"sentiment": ["positive"]}
+            
 Each slim model has a corresponding 'tool' in a separate repository, e.g.,  [**'slim-sentiment-tool'**](https://huggingface.co/llmware/slim-sentiment-tool), which a 4-bit quantized gguf version of the model that is intended to be used for inference.  
 
-Inference speed and loading time is much faster with the 'tool' versions of the model, and multiple tools can be deployed concurrently and run on a local CPU-based laptop or server.   
 
 ### Model Description
 
@@ -74,10 +74,7 @@ The intended use of SLIM models is to re-imagine traditional 'hard-coded' classi
         print("success - converted to python dictionary automatically")
     except:
         print("fail - could not convert to python dictionary automatically - ", llm_string_output)
-
-    # sample output
-        {"sentiment": ["negative"]}  
-        
+   
    </details>