Update README.md

README.md

@@ -11,7 +11,7 @@ model_type:  yi
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-dragon-yi-6b-0.1 part of the dRAGon ("Delivering RAG On Private Cloud") model series, RAG-instruct trained on top of a Yi-6B base model.
+dragon-yi-6b-0.1 part of the dRAGon ("Delivering RAG On ...") model series, RAG-instruct trained on top of a Yi-6B base model.
 
 DRAGON models are fine-tuned with high-quality custom instruct datasets, designed for production quality use in RAG scenarios.
 
@@ -38,7 +38,7 @@ For test run results (and good indicator of target use cases), please see the fi
 - **Developed by:** llmware
 - **Model type:** Yi
 - **Language(s) (NLP):** English
-- **License:** Apache 2.0
+- **License:** Yi License (Link)<https://huggingface.co/01-ai/Yi-6B/blob/main/LICENSE>
 - **Finetuned from model:** Yi-6B
 
 ## Uses
@@ -84,7 +84,7 @@ tokenizer = AutoTokenizer.from_pretrained("dragon-yi-6b-0.1")
 model = AutoModelForCausalLM.from_pretrained("dragon-yi-6b-0.1")  
 
 
-The BLING model was fine-tuned with a simple "\<human> and \<bot> wrapper", so to get the best results, wrap inference entries as:
+The DRAGON 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>\:"