code: def convert_quantized_linear_to_linear(module):
      """Recursively converts Linear4Bit layers to standard Linear layers in a given module.
  
      Args:
          module (nn.Module): The input module containing potentially nested Linear4Bit layers.
  
      Returns:
          None
      """
      for name, child in module.named_children():
          if isinstance(child, Linear4bit):
              # Replace Linear4Bit layer with a new Linear layer
              setattr(module, name, linear4bit_to_linear(child))
          else:
              # Recursively apply the conversion for nested modules
              convert_quantized_linear_to_linear(child)
  
imports: import torch
  from bitsandbytes.functional import dequantize_4bit
  from bitsandbytes.nn.modules import Linear4bit
  from torch import nn
  from ludwig.api_annotations import DeveloperAPI
label_desc: Use image node_id 2 for calling a global function with example usage: convert_quantized_linear_to_linear(module) without return types