I think you are going the wrong way - I would start with the best possible AI (which will probably be GPT4) and see if it can do it, and then walk backwards to local AI deployments (which are currently significantly weaker).

> My goal is to (1) try running an A.I. locally and see if it works, out curiosity, and (2) delve into A.I. concepts.

No this isn't what I mean.

Unrelated to where the model runs, it is unclear how you are specifying what you want the model to do. Usually you input the code and some natural language instructions into the context of the model and it will follow the instructions to generate new code.

But you say you are fine tuning, and it's unclear why this is.

There could be good reasons to do this: Maybe you have an in-house language it doesn't know, or maybe you are fine tuning on old-data -> old-transform-code -> new data + errors or something.

But usually you don't need to do fine tuning for this task.