[ot][ml] FUSE Git_LFS mount huggingface models
I made this bash script while trying to do other minimally-related things. https://github.com/xloem/httpfs_lm # httpfs-lm Load Git-LFS files without using disk space. This quick batch script clones Git-LFS repositories from https://huggingface.co and uses https://github.com/excitoon/httpfs to mount the Git-LFS files via the network with FUSE, without ever writing them to disk. This makes it easy to clone and use models without consuming disk space for them. Caveats: - Bytes will be retrieved from the network on every read, so repeated loading is just as slow as initial loading. - There is presently no way to unmount the files. I use `ps -Af | grep httpfs` and sigkill all the listed process ids. - A new mounted filesystem and two processes are constructed for every Git-LFS file. - I have not tested this much, and used it with a tiny model. Example: ``` $ ./httpfs_lm.bash cerebras/btlm-3b-8k-base@main Cloning into 'cerebras_btlm-3b-8k-base_main'... remote: Enumerating objects: 87, done. remote: Counting objects: 100% (60/60), done. remote: Compressing objects: 100% (60/60), done. remote: Total 87 (delta 27), reused 0 (delta 0), pack-reused 27 Unpacking objects: 100% (87/87), 2.71 MiB | 9.20 MiB/s, done. fatal: a branch named 'main' already exists branch 'main' set up to track 'origin/main'. Already up to date. Mounting cerebras_btlm-3b-8k-base_main/pytorch_model.bin .. Got 1 parts. https://huggingface.co/cerebras/btlm-3b-8k-base/resolve/main/pytorch_model.b... 4.9G ... cerebras_btlm-3b-8k-base_main/pytorch_model.bin -> /tmp/tmp0y3337k4/pytorch_model.bin https://huggingface.co/cerebras/btlm-3b-8k-base mounted at cerebras_btlm-3b-8k-base_main ``` Extending this script to handle Git-LFS repositories on other hosts would just mean ensuring the URL to the large files is correct. For example, for GitHub I think `/resolve/` would simply be changed to `/raw/` in the value assigned to `httpfspath` in the script.
participants (1)
-
Undescribed Horrific Abuse, One Victim & Survivor of Many