Update README.md

README.md

@@ -6,23 +6,23 @@ license: apache-2.0
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**dragon-mistral-answer-tool** is a quantized version of DRAGON Mistral 7B, with 4_K_M GGUF quantization, providing a fast, small inference implementation for use on CPUs.  
+**bling-answer-tool** is a quantized version of BLING Tiny-Llama 1B, with 4_K_M GGUF quantization, providing a very fast, very small inference implementation for use on CPUs.  
 
-[**dragon-mistral-7b**](https://huggingface.co/llmware/dragon-mistral-7b-v0) is a fact-based question-answering model, optimized for complex business documents.  
+[**bling-tiny-llama**](https://huggingface.co/llmware/bling-tiny-llama-v0) is a fact-based question-answering model, optimized for complex business documents.  
 
 To pull the model via API:  
 
     from huggingface_hub import snapshot_download           
-    snapshot_download("llmware/dragon-mistral-answer-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
+    snapshot_download("llmware/bling-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("dragon-mistral-answer-tool")            
+    model = ModelCatalog().load_model("bling-answer-tool")            
     response = model.inference(query, add_context=text_sample)  
 
-Note: please review [**config.json**](https://huggingface.co/llmware/dragon-mistral-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/bling-answer-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  
 
 
 ### Model Description
@@ -33,7 +33,7 @@ Note: please review [**config.json**](https://huggingface.co/llmware/dragon-mist
 - **Model type:** GGUF 
 - **Language(s) (NLP):** English
 - **License:** Apache 2.0
-- **Quantized from model:** [llmware/dragon-mistral](https://huggingface.co/llmware/dragon-mistral-7b-v0/)
+- **Quantized from model:** [llmware/dragon-mistral](https://huggingface.co/llmware/bling-tiny-llama-v0/)
   
 
 ## Model Card Contact