code: def quantize(
          self,
          input=None,
          qout=False,
          cutoff=0,
          retrain=False,
          epoch=None,
          lr=None,
          thread=None,
          verbose=None,
          dsub=2,
          qnorm=False
      ):
          
          a = self.f.getArgs()
          if not epoch:
              epoch = a.epoch
          if not lr:
              lr = a.lr
          if not thread:
              thread = a.thread
          if not verbose:
              verbose = a.verbose
          if retrain and not input:
              raise ValueError("Need input file path if retraining")
          if input is None:
              input = ""
          self.f.quantize(
              input, qout, cutoff, retrain, epoch, lr, thread, verbose, dsub,
              qnorm
          )
docs: Quantize the model reducing the size of the model and
          it's memory footprint.