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No idea what format a trainer wants.
What you'll have at the end
A dataset file in the exact chat template your trainer expects, that loads with zero errors
You need
A training tool or hosted fine-tuning service you already picked for a narrow task, plus a first small batch of real question-and-answer or instruction-and-response examples for that task, still sitting in raw form and not yet shaped for any trainer.
Not covered
Whether your raw answers are accurate or well-written, and how tool-call turns get added to a paired-turns shape.
Should you fine-tune, or is RAG enough?
you have not actually decided fine-tuning fits your task yet
Run a complete LoRA fine-tune on a free GPU
your dataset already loads clean and you want to run the training job itself
Deduplicate a fine-tuning dataset before you train
your rows are shaped and loading fine, but you suspect near-duplicate rows are inflating the count
Checked 15 Aug 2026
Part of the LLM Fine-tuning cookbook