I prefer the not from scratch, but from configuration approach by Axolotl. Aolotl supports fine-tuning mistral, llama-2, with lots of the latest techniques - sample packing, flash attention, xformers.

I concentrate on collecting and curating the fine-tuning data, do "data-centric" fine-tuning - not learning LoRA from scratch.