Update README.md

README.md

@@ -7,13 +7,13 @@ inference: false
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**slim-boolean** is an experimental model designed to implement a boolean function call using a 2.7B parameter specialized model.   As an input, the model takes a context passage, a yes-no question, and an optional (explain) parameter, and as output, the model generates a python dictionary with two keys - 'answer' which contains the 'yes/no' classification, and 'explain' which provides a text snippet from the passage that was the basis for the classification, e.g.:   
+**slim-boolean** is an experimental model designed to implement a boolean question answering function call using a 2.7B parameter specialized model.   As an input, the model takes a context passage, a yes-no question, and an optional (explain) parameter, and as output, the model generates a python dictionary with two keys - 'answer' which contains the 'yes/no' classification, and 'explain' which provides a text snippet from the passage that was the basis for the classification, e.g.:   
 
 &nbsp;&nbsp;&nbsp;&nbsp;`{'answer': ['yes'], 'explanation': ['the results exceeded expectations by 3%'] }`  
 
 This model is fine-tuned on top of [**llmware/bling-stable-lm-3b-4e1t-v0**](https://huggingface.co/llmware/bling-stable-lm-3b-4e1t-v0), which in turn, is a fine-tune of stabilityai/stablelm-3b-4elt.
 
-For fast inference, we would recommend using the'quantized tool' version, e.g.,  [**'slim-boolean-tool'**](https://huggingface.co/llmware/slim-sa-ner-3b-tool).  
+For fast inference, we would recommend using the'quantized tool' version, e.g.,  [**'slim-boolean-tool'**](https://huggingface.co/llmware/slim-boolean-tool).  
 
 
 ## Prompt format: