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).
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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