I'm not an expert on MCMC for BNNs by any means, but even with small networks I think it's a little tricky to get right. If my memory serves me right, this paper[1] focuses on small networks and goes over the issues and how to get around them.
MCMC is AFAIU overly prohibitive for neural networks. If you are interested in incorporating uncertainty awareness and improving calibration of your neural net classifiers in a somewhat scalable manner, I think linearized Laplace is a good place to look. I'd suggest you look at `laplace-torch` [1], it's an easy way of doing that.
I've been using mksquashfs to make full-system backups lately, but had to resort to using unsquashfs for recovering files. This combined with squashfuse might come in handy.