code: def msillm_quality_6(pretrained=False, **kwargs):
      if pretrained is True:
          weights = "target_0.9bpp"
      else:
          weights = None
  
      return _build_msillm(weights=weights)
  
file_path: NeuralCompression/neuralcompression/zoo/_msillm.py
imports: import logging
  from typing import Optional
  import torch
  from neuralcompression.models import HiFiCAutoencoder
label_desc: Use image node_id 7 for calling a global function with example usage: msillm_quality_6(pretrained) and returns: _build_msillm