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LICENSE

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+MIT License
+
+Copyright (c) 2026 Oussama Zekri
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+license: mit
+library_name: pytorch
+tags:
+  - gdds
+  - discrete-diffusion
+  - language-modeling
+  - research
+  - pytorch
+---
+
+# GDDS Checkpoints
+
+Official checkpoint bundle for the paper **Generalized Discrete Diffusion from Snapshots**.
+
+## Model Sources
+
+- Paper: https://huggingface.co/papers/2603.21342
+- arXiv: https://arxiv.org/abs/2603.21342
+- Code: https://github.com/ozekri/gdds
+- Project page: https://oussamazekri.fr/gdds
+
+## Included checkpoints
+
+| File | Method | Notes |
+| --- | --- | --- |
+| `checkpoints/gdds_gauss_500k.ckpt` | GDDS | 500k-step checkpoint with the Gaussian SIK forward process |
+| `checkpoints/gdds_uniform_500k.ckpt` | GDDS | 500k-step checkpoint with the uniform forward process |
+| `checkpoints/gdds_absorb_500k.ckpt` | GDDS | 500k-step checkpoint with the absorbing forward process |
+| `checkpoints/mdlm_500k.ckpt` | MDLM | 500k-step baseline checkpoint |
+| `checkpoints/udlm_500k.ckpt` | UDLM | 500k-step baseline checkpoint |
+| `checkpoints/ar_500k.ckpt` | AR | 500k-step autoregressive baseline checkpoint |
+
+`best.ckpt` is intentionally not included in this repository.
+
+## Usage
+
+These files are PyTorch Lightning checkpoints intended to be used with the
+`gdds` codebase.
+
+```bash
+git clone https://github.com/ozekri/gdds.git
+cd gdds
+pip install -r requirements.txt
+pip install -e .
+
+PYTHONPATH=src python -m discrete_diffusion.evaluations.ppl_eval \
+  data=openwebtext \
+  model=small \
+  algo=mdlm \
+  eval.checkpoint_path=/path/to/checkpoints/mdlm_500k.ckpt
+```
+
+For sampling and other evaluations, use the same repository and pass the
+relevant checkpoint path through the evaluation config.
+
+## Citation
+
+```bibtex
+@misc{zekri2026generalizeddiscretediffusionsnapshots,
+  title={Generalized Discrete Diffusion from Snapshots},
+  author={Oussama Zekri and Th{\\'e}o Uscidda and Nicolas Boull{\\'e} and Anna Korba},
+  year={2026},
+  eprint={2603.21342},
+  archivePrefix={arXiv},
+  primaryClass={stat.ML},
+  url={https://arxiv.org/abs/2603.21342},
+}
+```

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