Update README.md

README.md

@@ -7,7 +7,7 @@ license: apache-2.0
 <!-- Provide a quick summary of what the model is/does. -->
 
 
-**slim-sql-tool** is a 4_K_M quantized GGUF version of slim-sentiment, providing a small, fast inference implementation, optimized for multi-model concurrent deployment.  
+**slim-sql-tool** is a 4_K_M quantized GGUF version of slim-sql-1b-v0, providing a small, fast inference implementation, optimized for multi-model concurrent deployment.  
 
 [**slim-sql**](https://huggingface.co/llmware/slim-sql-1b-v0) is part of the SLIM ("**S**tructured **L**anguage **I**nstruction **M**odel") series, providing a set of small, specialized decoder-based LLMs, fine-tuned for function-calling.
 
@@ -21,15 +21,8 @@ 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
-    model = ModelCatalog().load_model("slim-sql-tool")
-
-    # sql_query_prompt is concatenation of sql_table_schema and a natural language query  
-    # see config.json script for example  
-    
-    response = model.function_call(sql_query_prompt)  
-
     # this one line will download the model and run a series of tests
+    # includes two sample table schema - go to llmware github repo for end-to-end example  
     ModelCatalog().tool_test_run("slim-sql-tool", verbose=True)