Additionally,

I'm interested in whether I can use the trained model locally.

I use the N8N tool to generate and create automations based on artificial intelligence insights.

The language model trained with your tool would allow for greater precision.

My use case involves a company that frequently responds to requests for proposals. I could train the model using all the past proposals I have responded to, each paired with the response I provided.

This would help train the model. I would then use the trained model to suggest responses to new proposals based on its prior training.

To summarize, I want to know the base model used for training.

Is it Llama, Mistral, or something else?

Also, once trained, can I use it locally in my self-hosted N8N workflow on my server? Thank you.