alibaba / alibaba/EfficientAI

Release D-CORE on Hugging Face

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Dominant language
Python
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Description

Hi @BowieHsu 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2602.02160.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

Would you like to host the model checkpoints you've pre-trained (such as D-CORE-8B and D-CORE-14B) on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.

If you're down, leaving a guide [here](https://huggingface.co/docs/hub/models-uploading). If it's a custom PyTorch model, you can use the [PyTorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin)
class which adds `from_pretrained` and `push_to_hub` to the model which lets you to upload the model and people to download and use models right away.
If you do not want this and directly want to upload model through UI or however you want, people can also use [hf_hub_download](https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file).

After uploaded, we can also link the models to the paper page (read [here](https://huggingface.co/docs/hub/en/model-cards#linking-a-paper)) so people can discover your model.

You can also build a demo for your model on [Spaces](https://huggingface.co/spaces), we can provide you a ZeroGPU [grant](https://huggingface.co/docs/hub/en/spaces-gpus#community-gpu-grants), which gives you A100 GPUs for free.

Let me know if you're interested/need any guidance :)

Kind regards,

Niels

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue does not mention repository files, tests, or an implementation entry point. Start by checking whether the D-CORE-8B and D-CORE-14B checkpoints are available, then read the linked Hugging Face model-uploading guide; done would mean the requested checkpoints are hosted and linked to the paper page.

Written by the indexing model from the issue text.

Assessment

Tech stack
huggingface, python, pytorch
Domain
machine-learning, release
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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