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@victormustar

Now available on Hugging Face: hf-mount 🧑‍🚀 The team really cooked, still wrapping my head everything possible but you can do things like: - mount a 5TB dataset as a local folder and query only the parts you need with DuckDB (✅ works) - browse any model repo with ls/cat like it's a USB drive - use a shared read-write bucket as a team drive for ML artifacts - drop the init container that downloads models in your k8s pods - point llama.cpp at a mounted GGUF and run inference (infinite storage??)

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