code: def __init__(self, weight, bias=None):
      super().__init__()
      self.weight = nn.Parameter(weight, requires_grad=False)
      if bias is not None:
          self.bias = nn.Parameter(bias, requires_grad=False)
  
file_path: peft/examples/loftq_finetuning/quantize_save_load.py
imports: import argparse
  import os
  import torch
  import torch.nn
  from transformers import AutoModelForCausalLM, AutoModelForSeq2SeqLM, AutoModelForSequenceClassification, AutoTokenizer
  from peft import LoftQConfig, LoraConfig, TaskType, get_peft_model
label_desc: Use image node_id 1 to create a new Shell object from inherited base classes: nn with example: obj = Shell(weight, bias)