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  # RiemannGen checkpoints
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- Trained checkpoints for the [RiemannGen](https://github.com/) project: two
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- from-scratch MolMIM-style latent sequence models.
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- - `atom/final-atom.pt` + `atom/vocab_new.txt` -- plain-SMILES model, trained
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- on a combined ZINC15 + MOSES + ChEMBL corpus.
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  - `fragment/final.pt` + `fragment/vocab_new.txt` -- SAFE-fragment-encoded
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  model, for scaffold growth / local fragment editing.
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  Licensed under MIT -- free to use, modify, and redistribute.
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- Note: the training corpus includes data from ChEMBL, which is distributed
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- under CC-BY-SA. Whether that imposes any share-alike obligation on model
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- weights trained on it is an unsettled question in ML licensing generally --
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- not resolved here, mentioned for transparency.
 
 
 
 
 
 
 
 
 
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  # RiemannGen checkpoints
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+ Trained checkpoints for the RiemannGen project: two from-scratch
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+ MolMIM-style latent sequence models.
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+ - `atom/final-atom.pt` + `atom/vocab_new.txt` -- plain-SMILES model.
 
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  - `fragment/final.pt` + `fragment/vocab_new.txt` -- SAFE-fragment-encoded
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  model, for scaffold growth / local fragment editing.
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  Licensed under MIT -- free to use, modify, and redistribute.
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+ ## Citation
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+
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+ If you use these checkpoints or the RiemannGen codebase, please cite:
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+
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+ ```
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+ @misc{riemanngen2026,
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+ title = {RiemannGen: latent-space molecule generation with atom and fragment backends},
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+ author = {XeonChem},
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+ year = {2026},
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+ url = {https://huggingface.co/XeonChem/riemanngen}
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+ }
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+ ```