Update README.md

README.md

@@ -3,24 +3,23 @@ license: apache-2.0
 inference: false  
 ---
 
-BLING-QWEN-NANO-TOOL
+BLING-QWEN-MINI-TOOL (1.5B)  
 
 
-**bling-qwen-nano-tool** is a RAG-finetuned version on Qwen2-0.5B for use in fact-based context question-answering, packaged with 4_K_M GGUF quantization, providing a very fast, very small inference implementation for use on CPUs.  
+**bling-qwen-mini-tool** is a RAG-finetuned version on Qwen2-1.5B for use in fact-based context question-answering, packaged with 4_K_M GGUF quantization, providing a very fast, very small inference implementation for use on CPUs.  
 
 To pull the model via API:  
 
     from huggingface_hub import snapshot_download           
-    snapshot_download("llmware/bling-qwen-nano-tool", local_dir="/path/on/your/machine/", local_dir_use_symlinks=False)  
+    snapshot_download("llmware/bling-qwen-mini-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("bling-qwen-nano-tool")            
-    response = model.inference(query, add_context=text_sample)  
+    model = ModelCatalog().load_model("bling-qwen-mini-tool")             
+    response = model.inference(query, add_context=text_sample)   
 
-Note: please review [**config.json**](https://huggingface.co/llmware/bling-qwen-nano-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-qwen-mini-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  
 
 
 ### Model Description