Hi @zai-org 🤗

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/2512.14291.
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.

It's great to see that the zai-org/GLM-TTS model is already available on https://huggingface.co/zai-org/GLM-TTS. I also noticed in your README that "Model Weights Optimized via Reinforcement Learning" for GLM-TTS_RL are "[Coming Soon]".

Would you be interested in hosting these GLM-TTS_RL model weights on https://huggingface.co/models once they are ready?
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 them 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 for people to download and use it right away.
If you prefer not to use this and directly want to upload the model through the UI or any other method, people can also use hf_hub_download.

After uploaded, 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 :)

Kind regards,

Niels