Example Notebook for Fine-Tuning Alpaca on Text?

I'm interested in trying to fine-tune Alpaca (or similar instruct-trained model) on a dataset of domain-specific text as a text--I want to see how that impacts prompt/response for the domain. Does doing that seriously degrade the instruct-training, or does the model still answer prompts reasonably well/better in the new domain.

All the examples I'm finding are replicating how the Stanford team trained LLaMa--I want to take Alpaca and train it on X docs. Anyone know of an example notebook I …

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