Introduction to ggml
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ngxson
updated
2
models
2 days ago
ngxson
published
a
model
3 days ago
ngxson
updated
3
models
3 days ago
Add "Image-Text-to-Text" label to gemma-3-12B
2
#2 opened 4 days ago
by
qnixsynapse
Add "Image-Text-to-Text" label to Gemma-3-27B
#3 opened 4 days ago
by
qnixsynapse
Add "Image-Text-to-Text" label to Gemma 3 4B
#1 opened 4 days ago
by
qnixsynapse
ngxson
published
a
model
3 days ago
Fix: Disable LLAMA_CURL in Hugging Face space environment
👍
1
1
#168 opened about 1 month ago
by
Gapeleon
Error converting Llama-3.2-3B: This GGUF file is for Little Endian only
#169 opened about 1 month ago
by
Coosanta
Build error?
👍
😔
10
6
#171 opened 18 days ago
by
King-Cane
Build error?
👍
9
5
#172 opened 9 days ago
by
Gustav098
hopefully this fixes it
#176 opened 4 days ago
by
reach-vb
Update Dockerfile
#175 opened 4 days ago
by
reach-vb
Update Dockerfile
#174 opened 4 days ago
by
reach-vb
Update Dockerfile
#173 opened 4 days ago
by
reach-vb
Post
3010
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! 🤗
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! 🤗
-
- 11 replies
ngxson
updated
a
model
6 days ago