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Jrffy666
Publish audited SEDD-medium math-tool SFT inference weights
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Third-party and release notices

This model is a full-parameter fine-tune of SEDD-medium from Aaron Lou, Chenlin Meng, and Stefano Ermon:

  • Model repository: https://huggingface.co/louaaron/sedd-medium
  • Pinned revision: ce71a3c6178b50e899c8be1a1a4c13130308e54f
  • Base weight SHA-256: d93bb0dd1013295a4865848ea546ee3763a5be036cf55ea407e898c0a7a82a33
  • Base config SHA-256: f77926529f6ee5b913981775ebd2f8560c271341ad6dc67a0eab4c56eb032ec5

The bundled implementation is derived from Score-Entropy-Discrete-Diffusion. Its upstream MIT copyright and license text are retained in LICENSE. See MODEL_LICENSE.md for the separate model weight scope clarification.

The training-data generator was Google's Mathematics Dataset at commit 427f45075f84b8b9774950196ad63867ca20ffb3; that project is distributed under Apache License 2.0. The generator source and full training data are not bundled here. The configured GPT-2 tokenizer is also an external artifact and is not redistributed by this model repository.

Release-specific loader and experiment code: https://github.com/Jrffy666/SEDD/tree/9b26b8980b298ce5cf08013320354ad4141796c1

This release deliberately includes only the audited online inference weights. It excludes the raw training checkpoint, optimizer, EMA, RNG state, private paths and device identifiers, complete training data, and sealed evaluation examples.