Hugging Face Cache Cleanup on Windows

Hugging Face models and cached files can become a significant part of a local AI setup. ModelSpace helps you inspect supported cache locations together with other model folders before you decide what to remove.

Inspect the Hugging Face model cache visually

ModelSpace can detect the common Hugging Face Hub cache location on Windows and respects supported environment-based cache locations used by the app. You can also add a custom folder when your workflow stores models somewhere else.

After scanning, you can see how much model storage was discovered, which source it belongs to, and which files are the largest.

Compare Hugging Face storage with other local AI tools

A Windows AI workstation often uses more than one application. ModelSpace presents discovered storage from Hugging Face alongside Ollama, LM Studio, Jan, ComfyUI, and custom folders, making it easier to understand the whole local model footprint.

Verify duplicate files before cleanup

ModelSpace uses SHA-256 to confirm exact duplicate model files. That means a duplicate result is based on file content rather than a similar filename.

Hugging Face cache cleanup workflow

1. Select the detected Hugging Face source or add the cache folder you want to inspect.
2. Run a local scan.
3. Review model sizes and storage by source.
4. Check Exact duplicates for verified redundant copies.
5. Delete only selected files you no longer need.