microsoft / microsoft/Orchard

Release Orchard model checkpoints on Hugging Face

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Description

Hi @pengbaolin 🤗

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/2605.15040.
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, and add Github and project page URLs.

It's fantastic to see that you've already released the Orchard trajectory datasets on the Hub at microsoft/Orchard! This is a great contribution to the community.

I noticed in your README that the code and training recipes are currently on hold or coming soon. Would you also like to host the pre-trained model checkpoints (such as Orchard-SWE, Orchard-GUI, and Orchard-Claw) on https://huggingface.co/models once they are ready for release?

Hosting on Hugging Face will give your work much more visibility and enable better discoverability. We can add metadata tags to the model cards (like image-text-to-text for the GUI agent) so that people find the models easier, and link them directly to the paper page.

If you're down, leaving a guide here. For models based on existing architectures like Qwen, users will be able to load and use them immediately via the transformers library. We can also help you set up interactive demos on Spaces and provide ZeroGPU grants if needed.

Let me know if you're interested or need any guidance!

Kind regards,

Niels

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the repository README to check the status of the Orchard-SWE, Orchard-GUI, and Orchard-Claw checkpoints. Read the Hugging Face model-uploading guide and determine whether the checkpoints are ready for release. Done means the released checkpoints are hosted on Hugging Face with appropriate model metadata and links to the paper page.

Written by the indexing model from the issue text.

Assessment

Tech stack
huggingface
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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