Update README.md

README.md

@@ -75,6 +75,7 @@ The fastest way to get started with dRAGon is through direct import in transform
     tokenizer = AutoTokenizer.from_pretrained("dragon-red-pajama-7b-v0")  
     model = AutoModelForCausalLM.from_pretrained("dragon-red-pajama-7b-v0")  
 
+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:
 
@@ -115,9 +116,4 @@ If you are using a HuggingFace generation script:
 
 
 ## Model Card Contact
-Darren Oberst
-llmware
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+Darren Oberst and the llmware team