Upload README.md

README.md

@@ -1,19 +1,28 @@
 ---
-license: apache-2.0
+license: llama2
 ---
 
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**dragon-mistral-qa-tool** is a 4_K_M quantized GGUF version of DRAGON Mistral, providing a fast, small inference implementation.
+**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 LLama 7B**](https://huggingface.co/llmware/dragon-llama-7b-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)  
+    
 
 Load in your favorite GGUF inference engine, or try with llmware as follows:
 
-    from llmware.models import ModelCatalog
+    from llmware.models import ModelCatalog  
+    model = ModelCatalog().load_model("llmware/dragon-llama-answer-tool")            
+    response = model.inference(query, text_sample)  
 
-    sentiment_tool = ModelCatalog().load_model("llmware/dragon-mistral-qa-tool")
-    response = sentiment_tool.inference(question, 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.  
 
 
 ### Model Description
@@ -23,17 +32,9 @@ Load in your favorite GGUF inference engine, or try with llmware as follows:
 - **Developed by:** llmware
 - **Model type:** GGUF 
 - **Language(s) (NLP):** English
-- **License:** Apache 2.0
-- **Quantized from model:** llmware/dragon-mistral (finetuned mistral 7b)
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-All of the DRAGON models use the following prompt wrapper:
-
-    "<human> " + text + "\n" + question + "\n<bot>: "
-
+- **License:** Llama 2 Community License
+- **Quantized from model:** [llmware/dragon-llama](https://huggingface.co/llmware/dragon-llama-7b-v0/)
+  
 
 ## Model Card Contact