[Q]: Quantize Per-Trained model Using QLoRa or LoRa , PFET Technique

[deep-matter]

hey all i hope you have a good day
i would like to ask a question please :
Q : Quantize Per-Trained model Using QLoRa or LoRa , PFET Technique
i would like to ask how can I use QLoRa or Parameter-Efficient Fine-Tuning thin a model does not register at Hugging face instead is Based on OFA

Here the repo of the model: GitHub

i am trying to Quantize the Tiny version but I don’t know if I need to use Lora in which way to Parameter-Efficient Fine-Tuning