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README.md

@@ -183,19 +183,10 @@ model = AutoModelForCausalLM.from_pretrained(model_name_or_path,
 tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)
 
 prompt = "Tell me about AI"
-prompt_template=f'''The model has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
-
-The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input.
-The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history.
-
-The system prompt has been designed to allow the model to "enter" various modes and dictate the reply length. Here's an example:
-
-```
-<|system|>Enter RP mode. Pretend to be {{char}} whose persona follows:
+prompt_template=f'''<|system|>Enter RP mode. Pretend to be {{char}} whose persona follows:
 {{persona}}
 
 You shall reply to the user while staying in character, and generate long responses.
-```
 
 '''