Hi @sethzhao506 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and your paper "QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception" got featured on Hugging Face's paper page: https://huggingface.co/papers/2509.03704.
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.
I saw from your GitHub repository (https://github.com/ucla-mobility/QuantV2X) that you have a release plan to make the QuantV2X codebase available in October 2025. It would be great if you'd consider hosting the QuantV2X model checkpoints on https://huggingface.co/models once they are released!
Hosting on Hugging Face will give you more visibility and 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, here's a guide: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to the model, allowing you to upload the model and others to download and use it right away. If you prefer, people can also use hf_hub_download to download models directly.
After uploading, we can also link the models to the paper page (read here) so people can discover your model.
You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance, especially closer to your release date!
Kind regards,
Niels
Hi @sethzhao506 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and your paper "QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception" got featured on Hugging Face's paper page: https://huggingface.co/papers/2509.03704.
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.
I saw from your GitHub repository (https://github.com/ucla-mobility/QuantV2X) that you have a release plan to make the QuantV2X codebase available in October 2025. It would be great if you'd consider hosting the QuantV2X model checkpoints on https://huggingface.co/models once they are released!
Hosting on Hugging Face will give you more visibility and 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, here's a guide: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds
from_pretrainedandpush_to_hubto the model, allowing you to upload the model and others to download and use it right away. If you prefer, people can also use hf_hub_download to download models directly.After uploading, we can also link the models to the paper page (read here) so people can discover your model.
You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance, especially closer to your release date!
Kind regards,
Niels