Hello & Congrats from Hugging Face! 🤗

by reach-vb HF staff - opened Nov 5

Nov 5

I'm VB. I work with the Open-Source team at Hugging Face. Congratulations on the release! The model looks impressive.

I'm contacting you to help better organise the model checkpoints on the Hub. Currently, the Pre-trained, Instruct, and FP8 checkpoints are all merged under the same repository. This is heavily discouraged as it makes model discovery quite tricky. Our recommendation would be to create three specific repositories, one for each model type: Pre-train, Instruct, and PF8.

This would allow for a couple of things:

People would be able to search and discover the repos individually
You'd be able to track downloads for individual repos
Each repo would show up with its inference snippet

You would also be able to organise separate model checkpoints as collections like this: https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e

Let me know if you need any help with this! 🤗

VB from Hugging Face

ehartford

Nov 5

in the meantime, I am uploading here: https://huggingface.co/tencent-community

woodchen7

Tencent org Nov 5

This comment has been hidden

TencentOpen

Tencent org Nov 5

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edited Nov 5

Hi @woodchen7 , @svanlin-tencent ,

I'm VB. I work with the Open-Source team at Hugging Face. Congratulations on the release! The model looks impressive.

I'm contacting you to help better organise the model checkpoints on the Hub. Currently, the Pre-trained, Instruct, and FP8 checkpoints are all merged under the same repository. This is heavily discouraged as it makes model discovery quite tricky. Our recommendation would be to create three specific repositories, one for each model type: Pre-train, Instruct, and PF8.

This would allow for a couple of things:

People would be able to search and discover the repos individually

You'd be able to track downloads for individual repos

Each repo would show up with its inference snippet

You would also be able to organise separate model checkpoints as collections like this: https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e

Let me know if you need any help with this! 🤗

VB from Hugging Face

hi Dear VB, Thanks for your kindly reminder. Do you have email address for further interlock with technical and management queries we may raise? Thanks @reach-vb

edwardsalut

Nov 5

I am very glad to see the input and output of the domestic companies on the big model, and thank the engineers for their efforts. In order to make it easier for developers to use Tencent's big model to achieve more interesting downstream tasks, could you give us further tutorials in detail

reach-vb

Nov 5

Hi @TencentOpen - Thank you for your response. Please feel free to email me at vb [at] hf [dot] co