Update README.md

README.md

@@ -1,28 +1,28 @@
 ---
-license: llama2
+license: other
 ---
 
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**dragon-llama-answer-tool** is a quantized version of DRAGON Llama 7B, with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.  
+**dragon-yi-answer-tool** is a quantized version of DRAGON Yi 6B, with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.  
 
-[**DRAGON LLama 7B**](https://huggingface.co/llmware/dragon-llama-7b-v0) is a fact-based question-answering model, optimized for complex business documents.  
+[**DRAGON Yi 6B**](https://huggingface.co/llmware/dragon-yi-6b-v0) is a fact-based question-answering model, optimized for complex business documents.  
 
 We are providing as a separate repository that can be pulled directly:  
 
     from huggingface_hub import snapshot_download           
-    snapshot_download("llmware/dragon-llama-answer-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
+    snapshot_download("llmware/dragon-yi-answer-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
     
 
 Load in your favorite GGUF inference engine, or try with llmware as follows:
 
     from llmware.models import ModelCatalog  
-    model = ModelCatalog().load_model("llmware/dragon-llama-answer-tool")            
+    model = ModelCatalog().load_model("llmware/dragon-yi-answer-tool")            
     response = model.inference(query, text_sample)  
 
-Note: please review [**config.json**](https://huggingface.co/llmware/dragon-llama-answer-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  
+Note: please review [**config.json**](https://huggingface.co/llmware/dragon-yi-answer-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  
 
 
 ### Model Description
@@ -32,12 +32,10 @@ Note: please review [**config.json**](https://huggingface.co/llmware/dragon-llam
 - **Developed by:** llmware
 - **Model type:** GGUF 
 - **Language(s) (NLP):** English
-- **License:** Llama 2 Community License
-- **Quantized from model:** [llmware/dragon-llama](https://huggingface.co/llmware/dragon-llama-7b-v0/)
+- **License:** Yi Community License
+- **Quantized from model:** [llmware/dragon-yi](https://huggingface.co/llmware/dragon-yi-6b-v0/)
   
 
 ## Model Card Contact
 
-Darren Oberst & llmware team
-
-
+Darren Oberst & llmware team