Apply for community grant: Academic project (gpu and storage)

#2
by keshavbhandari - opened
AMAAI Lab org

Hello, we are releasing the demo for the paper "Text2midi: Generating Symbolic Music from Captions" to be published in AAAI Proceedings.

We would greatly appreciate any support from the Hugging Face community by enabling ZeroGPU and a persistent storage slightly higher than 1GB for uploading our model checkpoint and soundfont files. Thank you.

keshavbhandari pinned discussion

Hi @keshavbhandari , we've assigned ZeroGPU to this Space. Please check the compatibility and usage sections of this page so your Space can run on ZeroGPU.

As for the persistent storage, I don't think you need it because each Space has 50GB ephemeral storage. https://huggingface.co/docs/hub/en/spaces-storage#persistent-storage-specs

AMAAI Lab org

Hi hysts, it seems that zeroGPU is not large enough for the latest model. Are there any alternatives available?

Hi @dorienh Can you provide a bit more details about the issue? How large is the model? The underlying hardware of ZeroGPU is A100 (40GB VRAM), which has the largest VRAM among the hardware we usually use for grants. Would it be possible to quantize the model so it can fit in 40GB?

Hi @hysts , what @dorienh meant is - the current GPU time limit of 2 minutes is a bit short for the text2midi model. If it could be extended to 4-5 minutes, users would be able to generate a full minute or minute and half of the audio. Would it be possible to extend the GPU time limit by a few minutes more for generation?

Hi @keshavbhandari , thanks for the clarification! But the GPU time limit you mentioned is due to duration=120 in this line. You can set a longer duration, like 180 seconds, if you want. But it's generally not recommended to set a long duration, because ZeroGPU quota is 180 seconds for non-logged-in users and 300 seconds for logged-in users.
It might be better to keep this Space for a quick demo and suggest that users who want to try out the full capability of your method duplicate this Space and allocate paid hardware for their own use.

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