File size: 709 Bytes
0403dd9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | # fm-tutorial assets
Pretrained Sudoku checkpoints for [fm_tutorial notebook 05](https://github.com/JChemseddine/fm_tutorial/blob/main/notebooks/05_continuous_discrete_sudoku.ipynb).
Three 28M-parameter DiT checkpoints on *Sudoku Extreme*:
- `vmf_d11_p1/checkpoint.pt` — spherical flow matching (vMF), no time conditioning
- `vmf_tc_d11_p1/checkpoint.pt` — same, with time conditioning
- `masked_p1/checkpoint.pt` — masked diffusion baseline (MDLM-style)
Each `.pt` is a torch.save dict with keys `model_state_dict`, `ema_state_dict`, `config`, `step`, and (for vmf) `warp_state`.
Source: *Spherical Flows for Sampling Discrete Distributions* ([arXiv:2605.05629](https://arxiv.org/abs/2605.05629)).
|