What role does the Nous-Hermes-2-Mixtral-8x7B-DPO model play in creating an inference endpoint for migrating from OpenAI to Open LLMs using TGI's Messages API?

Inference Endpoints on the Hub
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I reviewed the article at ((Migrating from OpenAI to Open LLMs Using TGI’s Messages API - Hugging Face Open-Source AI Cookbook)), which demonstrates using the Nous-Hermes-2-Mixtral-8x7B-DPO model to create an inference endpoint. The endpoint is then queried using the OpenAI Client Libraries with the TGI model. The response is generated by the TGI model, but what role does the Nous-Hermes-2-Mixtral-8x7B-DPO model play in this process?

How does the Nous-Hermes-2-Mixtral-8x7B-DPO model affect the response generated by the TGI model?

Is the inference endpoint a customization of the TGI model, or is the TGI model’s response customized by the inference endpoint?

Please explain, @andrewrreed.