Hmm, maybe because it’s too old? But you can generate them by yourself by apply the init rule.
def init_weights(m):
    if isinstance(m, nn.Linear):
        torch.nn.init.xavier_uniform(m.weight)
        m.bias.data.fill_(0.)
    elif isinstance(m, nn.Conv2d):
        torch.nn.init.xavier_uniform(m.weight)

model = torchvisions.models.alexnet()
model.apply(init_weights)