Being able to run inference doesn't mean you can train
Unsloth's current requirements distinguish between Studio's inference and data processing and the conditions for training support. For a training machine, check GPU and memory requirements first, and for environments outside the supported range, follow the alternatives in the official guide.
Finish your first run with a small dataset
Before training, check the format and permissions of your data, then use a short run to look at how the loss changes and at sample outputs. If problems show up at this stage, fix the data before changing the model size or learning rate.
A training server is not a public server
Even a training UI you run on your own PC needs access control if you expose it to the network. Set up authentication and an access scope only when you need to share it, and record where your data and results are stored.
Official resources: Unsloth Docs · Unsloth Requirements · Fine-tuning Guide