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Release LLaVA-LE checkpoints on Hugging Face #4

@NielsRogge

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@NielsRogge

Hi @bnavard 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

The paper page (huggingface.co/papers/2603.24696) lets people discuss about your paper and lets them find artifacts about it (your models and dataset 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.

I saw that you've already hosted the LUCID dataset on the Hub (pcvlab/lucid), which is awesome! Would you also like to host the pre-trained LLaVA-LE checkpoints (the Stage 1 and Stage 2 LoRA adapters) on https://huggingface.co/models?

Hosting the checkpoints on Hugging Face will give you more visibility and enable better discoverability for researchers interested in planetary science and VLMs. We can add tags in the model cards so that people find the models easier, link them to the paper page, etc.

If you're down, leaving a guide here. Since you are using LoRA, you can easily upload the adapter weights, and users can download them using hf_hub_download or via the peft library. You can also use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to your model.

After uploaded, we can also link the models to the paper page (read here) so people can discover your work.

You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.

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

Kind regards,

Niels

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