chore: add example text prompt

README.md

@@ -43,6 +43,53 @@ This model is designed for research and development in tool use and function cal
 
 Note the model is quite sensitive to the `temperature` and `top_p` sampling configuration. Start at `temperature=0.5, top_p=0.65` and move up or down as needed.
 
+Text prompt example:
+
+```
+<|start_header_id|>system<|end_header_id|>
+
+You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+<tool_call>
+{"name": <function-name>,"arguments": <args-dict>}
+</tool_call>
+
+Here are the available tools:
+<tools> {
+    "name": "get_current_weather",
+    "description": "Get the current weather in a given location",
+    "parameters": {
+        "properties": {
+            "location": {
+                "description": "The city and state, e.g. San Francisco, CA",
+                "type": "string"
+            },
+            "unit": {
+                "enum": [
+                    "celsius",
+                    "fahrenheit"
+                ],
+                "type": "string"
+            }
+        },
+        "required": [
+            "location"
+        ],
+        "type": "object"
+    }
+} </tools><|eot_id|><|start_header_id|>user<|end_header_id|>
+
+What is the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+<tool_call>
+{"id":"call_deok","name":"get_current_weather","arguments":{"location":"San Francisco","unit":"celsius"}}
+</tool_call><|eot_id|><|start_header_id|>tool<|end_header_id|>
+
+<tool_response>
+{"id":"call_deok","result":{"temperature":"72","unit":"celsius"}}
+</tool_response><|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+```
+
 ## Ethical Considerations
 
 While fine-tuned for tool use, this model inherits the ethical considerations of the base Llama 3 model. Use responsibly and implement additional safeguards as needed for your application.