modelhog

Your laptop has 100 GB of AI models you forgot about. modelhog finds every model you ever pulled from Hugging Face, Ollama or LM Studio, plus the developer caches piling up behind them. It shows how big each one is and when you last touched it, and deletes the ones you pick.

uvx modelhog

_{Demo on a made-up home folder (sparse files, so it took no real space) generated by docs/demo.py.}

Everything modelhog lists can be downloaded again. It never touches your code, your documents, or anything it can't name.

What it finds

"Last used" is the newest modification time inside each folder, which is when you last downloaded or changed it. Operating systems don't reliably record when a file was last read.

Cleaning up

modelhog clean 1 3 7                     # numbers from the list
modelhog clean --older-than 90d          # everything untouched for 90 days (also 12w, 6m, 1y)
modelhog clean --older-than 6m --only ai # just the models
modelhog clean 2 --dry-run               # show what would go

It always lists what it's about to delete and the total, then asks before deleting (--yes to skip the prompt).

A few things are removed with their own tool rather than by deleting files, because deleting files would break them:

• Ollama models share layers, so modelhog runs ollama rm model:tag.
• Docker gets docker system prune -a --volumes.
• iOS simulators get xcrun simctl delete unavailable.
• Go modules get go clean -modcache.

Options

modelhog                      # AI models and dev caches
modelhog --projects ~/code    # also project junk under ~/code
modelhog --only ai            # or caches, projects
modelhog --all                # list everything, not just the biggest 40
modelhog --json               # for scripts

Install

uvx modelhog           # run without installing
pipx install modelhog  # or install it

Requires Python 3.9+. The only dependency is rich. macOS, Linux and Windows.

License

MIT