blanchon / elf-reg-demo-weights

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ELF-REG demo weights (EMA-0.9999, trimmed)

EMA-0.9999 inference weights for ELF-REG: Scaling Continuous Diffusion Language Models to Reasoning Tasks ( arXiv:2609.29102 ), by Zeyu Michael Li, William Xingxu Chen, Bingshuo Qian, Jiayin Liu and Xiang Cheng (Duke University / Tsinghua University).

These are trimmed mirrors of the official checkpoints published by the first author at zl310/elf-reg — same directory layout, same config.yml files. The originals contain the optimizer state and multiple EMA copies ( 39 GB for the four demo checkpoints); these files keep only ema_params1["0.9999"] , the exact weights the paper's headline evaluation loads ( 10.7 GB total). Content of the EMA state dicts is byte-identical to the originals; nothing was retrained or re-quantized (fp32).

Official code (MIT license): lizeyu090312/scaling_dLM , built on lillian039/ELF (arXiv:2605.10938).

Task Checkpoint Model Size
GSM8K gsm8k/elf_b_repa_reg/checkpoint_56352 (epoch 12) ELF-REG-B (104M+156M) 1.0 GB
GSM8K gsm8k/elf_l_repa_reg/checkpoint_56352 (epoch 12) ELF-REG-L (652M+157M) 3.2 GB
MATH-500 math500/elf_l_repa_reg/checkpoint_55824 (epoch 8) ELF-REG-L 3.2 GB
Code code/elf_l_repa_reg/checkpoint_64248 (epoch 12) ELF-REG-L 3.2 GB
License

The upstream code is MIT-licensed. The upstream checkpoint weights carry no explicit license ; they are mirrored here without modification for use by the demo Space blanchon/elf-reg-demo , with attribution to the authors. If you are an author and would like this mirror changed or removed, please open a discussion.

Verification

GSM8K pass@1 at NFE 64 (early-stop ρ=8, SCCFG 3, EMA 0.9999), official eval code and protocol:

Source pass@1
Paper (Table 2, 16 seeds, full test set) 38.11% ± 1.07
This stack (subset: first 160 questions, 4 seeds) 40.00% ± 0.51
This stack (full 1319-question test set, 4 seeds) 38.40% ± 0.61
Citation
@misc{elf_reg2026,
      title={ELF-REG: Scaling Continuous Diffusion Language Models to Reasoning Tasks},
      author={Zeyu Michael Li and William Xingxu Chen and Bingshuo Qian and Jiayin Liu and Xiang Cheng},
      year={2026},
      eprint={2609.29102},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2609.29102},
}

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