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spellbrush/PupuM2D
PupuM2D is a other model from spellbrush. Use it for the other task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is the official Hugging Face model repository for the paper "Frequency-Aware Self-Supervised Music Representation Learning".
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Updated Aug 30, 2026
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From the Hugging Face model README
This is the official Hugging Face model repository for the paper "Frequency-Aware Self-Supervised Music Representation Learning".
This repository contains the following checkpoints:
| Model Name | Directory | Description |
|---|---|---|
| PupuM2D-Tiny | ./PupuM2DV2_25Hz_tiny/* | 5M parameter tiny version of PupuM2D. |
| PupuM2D-Small | ./PupuM2DV2_25Hz_small/* | 22M parameter small version of PupuM2D. |
| PupuM2D-Base | ./PupuM2DV2_25Hz_base/* | 86M parameter base version of PupuM2D. |
| PupuM2D-Large | ./PupuM2DV2_25Hz_large/* | 307M parameter large version of PupuM2D. |
| PupuM2D-Huge | ./PupuM2DV2_25Hz_huge/* | 632M parameter huge version of PupuM2D. |
| PupuM2D-giant | ./PupuM2DV2_25Hz_giant/* | 1.1B parameter giant version of PupuM2D. |
You need to put the pretrained models in:
PupuM2D/experiments
of our official repository.
@article{PupuM2D,
title = {Frequency-Aware Self-Supervised Music Representation Learning},
author = {Yicheng Gu and Junan Zhang and Jerry Li and Zhizheng Wu and Lauri Juvela},
year = {2026},
journal = {arXiv:2606.25713},
}