Thank you for providing more details about your query. Based on the information you provided, it seems like the Phi-2 model is generating extra text and responses following its first answer to your prompt within a single turn. This behaviour is consistent with the model's disclaimer about verbosity.
Phi-2 being a base model often produces irrelevant or extra text and responses following its first answer to user prompts within a single turn. This is due to its training dataset being primarily textbooks, which results in textbook-like responses.
Please look into the Limitations of Phi-2 or Microsoft Phi-2
Also see this: Phi-2
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