Here is a dummy example to get the conv parameters:
model = nn.Sequential(
    nn.Conv2d(3, 6, 3, 1, 1),
    nn.ReLU(),
    nn.MaxPool2d(2),
    nn.Linear(10, 10)
)
    
for child in model.children():
    if isinstance(child, nn.Conv2d):
        print(child.weight)
        print(child.bias)

You could also call .named_children() to get the name of the current layer, if you need it.