Update README.md

README.md

@@ -6,21 +6,30 @@ license: apache-2.0
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**slim-sentiment-tool** is part of the SLIM ("Structured Language Instruction Model") model series, providing a set of small, specialized decoder-based LLMs, fine-tuned for function-calling.  
 
-slim-sentiment-tool is a 4_K_M quantized GGUF version of slim-sentiment, providing a small, fast inference implementation.
+**slim-sentiment-tool** is a 4_K_M quantized GGUF version of slim-sentiment, providing a small, fast inference implementation, optimized for multi-model concurrent deployment.  
 
-Load in your favorite GGUF inference engine (see details in config.json to set up the prompt template), or try with llmware as follows:
+[**slim-sentiment**](https://huggingface.co/llmware/slim-sentiment) is part of the SLIM ("Structured Language Instruction Model") series, providing a set of small, specialized decoder-based LLMs, fine-tuned for function-calling.
 
-    from llmware.models import ModelCatalog
+To pull the model via API:  
 
+    from huggingface_hub import snapshot_download           
+    snapshot_download("llmware/slim-sentiment-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  
+    
     # to load the model and make a basic inference
     sentiment_tool = ModelCatalog().load_model("slim-sentiment-tool")
     response = sentiment_tool.function_call(text_sample)  
 
     # this one line will download the model and run a series of tests
-    ModelCatalog().test_run("slim-sentiment-tool", verbose=True)  
-    
+    ModelCatalog().tool_test_run("slim-sentiment-tool", verbose=True)  
+
+Note: please review [**config.json**](https://huggingface.co/llmware/slim-sentiment-tool/blob/main/config.json) in the repository for prompt wrapping information, details on the model, and full test set.  
+
     
 Slim models can also be loaded even more simply as part of a multi-model, multi-step LLMfx calls:
 
@@ -39,7 +48,7 @@ Slim models can also be loaded even more simply as part of a multi-model, multi-
 - **Model type:** GGUF 
 - **Language(s) (NLP):** English
 - **License:** Apache 2.0
-- **Quantized from model:** llmware/slim-sentiment (finetuned tiny llama)
+- **Quantized from model:** llmware/slim-sentiment (finetuned tiny llama 1b)
 
 ## Uses