DenseVault dedupes training checkpoints over WebDAV

This feels like a genuinely useful MLOps storage layer, not just a compression demo: the big win is keeping checkpoint sprawl mounted and reusable instead of turning it into dead cold storage. Its sweet spot is versioned, partially redundant artifacts; once data is already compressed or needs random access, the gains narrow fast.

• –The 9.1 GB to 5.1 GB checkpoint result is the right benchmark because it matches the exact workload DenseVault targets.
• –WebDAV plus range reads is the killer workflow win: existing tools can mount the vault, and even `llamafile` can stream GGUF models straight from it.
• –Entropy-aware compression is a smart guardrail, and the Arch ISO test shows why: already-compressed blobs barely benefit.
• –Delta mode fits model checkpoints that are read whole, but it is a bad fit for live inference files because reconstruction gets in the way of range reads.
• –The single-file SQLite/WORM design is portable and low-friction, but it will need serious durability and concurrency testing if it grows beyond a thesis project.