Cannot use Quantize layer and use abstract class and methods

I am trying to Quantize the whole model but whenever, I try to load the model using quantized scope it gives me error like this

import sys, os
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import load_model
import tensorflow_model_optimization as tfmot
from tensorflow.keras.utils import CustomObjectScope

customObjects = {'DefaultQuantizeConfig': tfmot.quantization.keras.QuantizeConfig}       
with tfmot.quantization.keras.quantize_scope(customObjects):
    loaded_model = load_model('UpdtQuant.h5')

Also, when I try to define scope it gives me unknown value error: Quantize layer is not defined

Can someone help me with this issue?

Start with the Python reproducer in the issue and the error shown when loading UpdtQuant.h5 inside tfmot.quantization.keras.quantize_scope. Check how quantize_scope registers quantization objects and how the abstract QuantizeConfig value is serialized. Done means identifying the missing registration or confirming the supported way to load the quantized model.