Hi @Giang_Dang,
I’m not sure if it makes sense conceptually to try to put weights from a quantized layer directly into a floating point layer.  Consider the translation between the quantized and floating point domain:
x_quant = round(x_fp / scale + zero_point)
x_fp = (x_quant - zero_point) * scale

For the weights of the quantized conv, even though they are stored in the quantized domain, they represent the floating point domain.  To use them in non-quantized layers you’d need to convert back to the floating point domain.