gundo0102/SleepMaMi

AI model by gundo0102

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This is the code respository for SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures (ICML 2026) [](https://arxiv.org/abs/2602.07628) [](LICENSE) [](#installation) [](https://huggingface.co/gundo0102/SleepMaMi) A CUDA GPU is required for training and inference: the FlashAttention and Mamba (mamba-ssm) kernels used by the encoders have no CPU implementation. Use a GPU that FlashAttention 2 supports (Ampere or newer, e.g. A100 / RTX 30xx+). Please prepare pretraining and finetuning data, following README in data directory. After pretraining dataset is prepared, prepare a config file(.yaml) in configs directory. Example config files are provided in configs directory. Use the following command to start pretraining: Similar to Micro-Encoder pretraining, prepare a config file in configs directory. Then use the following command to start Macro-Encoder pretraining After pretraining is completed, finetuning on downstream tasks can be done with the following command: The config file should be located in configs directory. fttask variable should be set to specify…

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Model overview

gundo0102/SleepMaMi is a task-unspecified model repository published by gundo0102 on Hugging Face. A library was not reported.

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Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: mit
Access: Not gated by Hugging Face
Created: 2026-10-14T06:13:50.000Z
Last modified: 2026-10-14T06:13:50.000Z

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