hey hey 
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hey hey 
@mradermacher
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mradermacher
 - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! 💥
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 - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! 💥
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as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): 
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as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): 
https://huggingface.co/blog/xet-on-the-hub
https://huggingface.co/blog/xet-on-the-hub
link
 and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!
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 and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!
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in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.
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in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.
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p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: 
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p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: 
https://huggingface.co/docs/hub/storage-backends#using-xet-storage
https://huggingface.co/docs/hub/storage-backends#using-xet-storage
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p.p.s. this is fully backwards compatible so everything will work as it should! 🤗
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p.p.s. this is fully backwards compatible so everything will work as it should! 🤗
hey hey @mradermacher - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! 💥

as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): https://huggingface.co/blog/xet-on-the-hub and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!

in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.

p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: https://huggingface.co/docs/hub/storage-backends#using-xet-storage

p.p.s. this is fully backwards compatible so everything will work as it should! 🤗
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