First of all, LoRa and QLoRa allow you to start with fewer GPUs or a smaller GPU. That's going to make iteration faster. But for small datasets, the performance might even be better than full fine-tuning because full fine-tuning can tend to overfit. So I'd recommend even if you eventually want to do full fine-tuning, start off with LoRa or QLoRa and try to get it working before you want to spend more on GPU rental and more of your time. The video here if you want to pick out the right LoRa parameters is a live stream on how to pick LoRa parameters.