Parameter-Efficient Fine-Tuning using 🤗 PEFT

honestly? everyone's just slapping PEFT on models to save VRAM. it's not magic; it's a clever trick to squeeze 7B parameter models onto consumer cards. we don't need a new paradigm, we just need to stop wasting expensive GPU memory on full fine-tuning. it's a necessary hack for getting real work done with limited resources. it's efficient, sure, but it doesn't solve the fundamental problem of needing data.

look, if you're running inference or small domain adaptation, peft is the only sensible path right now. stop chasing theoretical efficiency and start shipping usable models.