def quantize(
        self,
        input=None,
        qout=False,
        cutoff=0,
        retrain=False,
        epoch=None,
        lr=None,
        thread=None,
        verbose=None,
        dsub=2,
        qnorm=False
    ):
        """
        Quantize the model reducing the size of the model and
        it's memory footprint.
        """
        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
        )
Quantize the model reducing the size of the model and
        it's memory footprint.