Update README.md

README.md

@@ -77,14 +77,15 @@ Any model can provide inaccurate or incomplete information, and should be used i
 
 The fastest way to get started with BLING is through direct import in transformers:
 
-from transformers import AutoTokenizer, AutoModelForCausalLM  
-tokenizer = AutoTokenizer.from_pretrained("llmware/bling-stable-lm-3b-4e1t-0.1")  
-model = AutoModelForCausalLM.from_pretrained("llmware/bling-stable-lm-3b-4e1t-0.1")  
+    from transformers import AutoTokenizer, AutoModelForCausalLM  
+    tokenizer = AutoTokenizer.from_pretrained("llmware/bling-stable-lm-3b-4e1t-0.1")  
+    model = AutoModelForCausalLM.from_pretrained("llmware/bling-stable-lm-3b-4e1t-0.1")  
 
+Please refer to the generation_test .py files in the Files repository, which includes 200 samples and script to test the model.  The **generation_test_llmware_script.py** includes built-in llmware capabilities for fact-checking, as well as easy integration with document parsing and actual retrieval to swap out the test set for RAG workflow consisting of business documents.  
 
 The BLING model was fine-tuned with a simple "\<human> and \<bot> wrapper", so to get the best results, wrap inference entries as:
 
-full_prompt = "\<human>\: " + my_prompt + "\n" + "\<bot>\:"
+    full_prompt = "<human>: " + my_prompt + "\n" + "<bot>:"
 
 The BLING model was fine-tuned with closed-context samples, which assume generally that the prompt consists of two sub-parts:
 
@@ -93,7 +94,7 @@ The BLING model was fine-tuned with closed-context samples, which assume general
 
 To get the best results, package "my_prompt" as follows:
 
-my_prompt = {{text_passage}} + "\n" + {{question/instruction}}
+    my_prompt = {{text_passage}} + "\n" + {{question/instruction}}
 
 
 ## Citations
@@ -110,8 +111,3 @@ This model has been fine-tuned on the base StableLM-3B-4E1T model from Stability
 ## Model Card Contact
 
 Darren Oberst & llmware team
-
-Please reach out anytime if you are interested in this project and would like to participate and work with us!
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