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# SNet-T25
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SNet-T25 is an MLIP trained on the Titan25 dataset.
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# Citation
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If using this checkpoint, please cite our work as follows:
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# SNet-T25
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SNet-T25 is an MLIP trained on the Titan25 dataset.
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Full details of the model architecture and hyperparameters are available at [GAIA paper](https://arxiv.org/abs/2509.25798)
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The original SNet-T25 was trained using our in-house framework;
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we provide a converted version that can be directly used with [the SevenNet framework](https://github.com/MDIL-SNU/SevenNet).
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To enable compatibility, the user only need to apply the following minor modifications:
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- Modify line 5 in `SevenNet/sevenn/__init__.py` to, e.g., `__version__ = '0.11.0'`. This allows the user to use it without installing SevenNet.
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- Comment out line 332 in `SevenNet/sevenn/checkpoint.py`, i.e., `assert len(missing) == 0, f'Missing keys: {missing}'`
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# Citation
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If using this checkpoint, please cite our work as follows:
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