How to Build a Privacy-Preserving Integrated Pipeline for Optimizing Large-Scale Language Models with LoRA Using Flower and PEFT
!pip -q install -U “protobuf<5” “flwr[simulation]” transformers peft accelerate datasets sentencepiece import torch if torch.cuda.is_available(): !pip -q install -U bitsandbytes import os os.environ[“RAY_DISABLE_USAGE_STATS”] = “1” os.environ[“TOKENIZERS_PARALLELISM”] = “false” import math import random import numpy as np from typing import Dict, List, Tuple, Optional from torch.utils.data import DataLoader from datasets import Dataset import flwr as fl … Read more