@reach-vb\n\n\t made some clarifications in this post in r/LocalLLaMA

\n

Here's another thread about the same issue.

\n

It doesn't seem like anyone is actually hitting barriers with creating new repos or uploading currently. I do find it pretty sus to even show me the storage quota, assuming legitimate storage will always be granted anyway... 🤔

\n

I'd appreciate a more official announcement on HF though, I've anecdotally seen a few notable creators panic-deleting repositories

\n
\n

VB's reddit post

\n

Heya! I’m VB, I lead the advocacy and on-device team @ HF. This is just a UI update for limits which have been around for a long while. HF has been and always will be liberal at giving out storage + GPU grants (this is already the case - this update just brings more visibility).

\n

We’re working on updating the UI to make it more clear and recognisable - grants are made for use-cases where the community utilises your model checkpoints and benefits for them - Quantising models is one such use-case, other use-cases are pre-training/ fine-tuning datasets, Model merges and more.

\n

Similarly we also give storage grants to multi-PB datasets like YODAS, Common Voice, FineWeb and the likes.

\n

This update is more for people who dump random stuff across model repos, or use model/ dataset repos to spam users and abuse the HF storage and community.

\n

I’m a fellow GGUF enjoyer, and a quant creator (see - https://huggingface.co/spaces/ggml-org/gguf-my-repo) - we will continue to add storage + GPU grants as we have in past.

\n

Cheers!

\n","updatedAt":"2024-12-03T23:33:09.820Z","author":{"_id":"64371b564aacf7bf786fb530","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64371b564aacf7bf786fb530/0lZEdVu06bx11fy1uTjpt.jpeg","fullname":"Nymbo","name":"Nymbo","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":255}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9015058875083923},"editors":["Nymbo"],"reactions":[{"reaction":"🤝","users":["nroggendorff","John6666","d0rj","maywell"],"count":4}],"isReport":false}},{"id":"674fd4f47cdc8584b626b952","author":{"_id":"6640bbd0220cfa8cbfdce080","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6640bbd0220cfa8cbfdce080/wiAHUu5ewawyipNs0YFBR.png","fullname":"John Smith","name":"John6666","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":431},"createdAt":"2024-12-04T04:05:08.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"I thought it was GB, but it was TB.","html":"

I thought it was GB, but it was TB.

\n","updatedAt":"2024-12-04T04:05:08.146Z","author":{"_id":"6640bbd0220cfa8cbfdce080","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6640bbd0220cfa8cbfdce080/wiAHUu5ewawyipNs0YFBR.png","fullname":"John Smith","name":"John6666","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":431}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9999514818191528},"editors":["John6666"],"reactions":[{"reaction":"👍","users":["nroggendorff","nyuuzyou"],"count":2}],"isReport":false}},{"id":"6751212a70a6b5e653d8e27f","author":{"_id":"6640bbd0220cfa8cbfdce080","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6640bbd0220cfa8cbfdce080/wiAHUu5ewawyipNs0YFBR.png","fullname":"John Smith","name":"John6666","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":431},"createdAt":"2024-12-05T03:42:34.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Update:\nhttps://huggingface.co/posts/nroggendorff/302035312925507","html":"

Update:
https://huggingface.co/posts/nroggendorff/302035312925507

\n","updatedAt":"2024-12-05T03:42:34.018Z","author":{"_id":"6640bbd0220cfa8cbfdce080","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6640bbd0220cfa8cbfdce080/wiAHUu5ewawyipNs0YFBR.png","fullname":"John Smith","name":"John6666","type":"user","isPro":true,"isHf":false,"isMod":false,"followerCount":431}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.44772449135780334},"editors":["John6666"],"reactions":[],"isReport":false}}],"numComments":8},"theme":"light","acceptLanguages":["en","*"],"primaryEmailConfirmed":false}">

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nroggendorff 
posted an update 2 days ago
Post
1249
uhh..

They know that I'm not deleting my repos to save storage, right?

·

They know that having full models and stuff in the commit history is taking it up.. right?

so what happen if storage beyond limit?

·

I have no clue. I guess I'm about to find out..

Adding context

@reach-vb made some clarifications in this post in r/LocalLLaMA

Here's another thread about the same issue.

It doesn't seem like anyone is actually hitting barriers with creating new repos or uploading currently. I do find it pretty sus to even show me the storage quota, assuming legitimate storage will always be granted anyway... 🤔

I'd appreciate a more official announcement on HF though, I've anecdotally seen a few notable creators panic-deleting repositories


VB's reddit post

Heya! I’m VB, I lead the advocacy and on-device team @ HF. This is just a UI update for limits which have been around for a long while. HF has been and always will be liberal at giving out storage + GPU grants (this is already the case - this update just brings more visibility).

We’re working on updating the UI to make it more clear and recognisable - grants are made for use-cases where the community utilises your model checkpoints and benefits for them - Quantising models is one such use-case, other use-cases are pre-training/ fine-tuning datasets, Model merges and more.

Similarly we also give storage grants to multi-PB datasets like YODAS, Common Voice, FineWeb and the likes.

This update is more for people who dump random stuff across model repos, or use model/ dataset repos to spam users and abuse the HF storage and community.

I’m a fellow GGUF enjoyer, and a quant creator (see - https://huggingface.co/spaces/ggml-org/gguf-my-repo) - we will continue to add storage + GPU grants as we have in past.

Cheers!

I thought it was GB, but it was TB.