Add prompting info

README.md

@@ -15,6 +15,37 @@ which effectively prevents the significant problem of language models forgetting
 
 We intend to be the first of a family of experimentations being carried out @ Cognitive Computations.
 
+# Usage
+
+This model is trained on a variaton of [glaive function calling v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) and uses their format for declaring functions and invoking them.
+Note that like other Dolphin models you should be using the ChatML syntax for representing chats.
+
+Set your system prompt to something along these lines:
+
+```
+You are a helpful assistant with access to the following functions.
+Use them if required -
+{ "name": "search_wikipedia", "description": "Search for a given keyword or phrase on Wikipedia", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The keyword or phrase to search" } }, "required": [ "query" ] } }
+```
+
+The model will then attempt to invoke the specified functions using the token `<functioncall>` and some JSON with a `name` and an `arguments` parameter.
+
+e.g.:
+
+```
+ASSISTANT: <functioncall> {"name": "search_wikipedia", "arguments": '{"query": "Eiffel Tower"}'} <|endoftext|>
+```
+
+Your code should detect this and stop execution and invoke the function call and inject a response back into the context with the following syntax:
+
+```
+FUNCTION RESPONSE: {"result": "The Eiffel Tower is a wrought-iron lattice... etc"}
+```
+
+You should then prompt the assistant to generate another response.
+
+Note that the model may not always attempt to invoke a function and may respond saying it doesn't have access to the right functionality.
+
 # Quants
 - [dagbs/-GGUF](https://huggingface.co/dagbs/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF)
 - [solidrust/-AWQ](https://huggingface.co/solidrust/fc-dolphin-2.6-mistral-7b-dpo-laser-AWQ)