DPRM-DLLM

DarkerBu/DPRM-DLLM

DPRM-DLLM is a machine learning model from DarkerBu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.

This bundle contains the retained DPRM states and raw evaluation records for DPRM: A Plug-in Token-Ordering Module for Diffusion Language Models. The executable integrations, exact commands, and uncertainty reducers a…

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Public

Updated Aug 23, 2026

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28.9 GB

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Hugging Face

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At a glance

Library: pytorch
License: apache-2.0
Access: Public
Created: Aug 23, 2026
Updated: Aug 23, 2026
SHA: 444bfd94

Model card

From the Hugging Face model README

DPRM Release Artifacts

This bundle contains the retained DPRM states and raw evaluation records for DPRM: A Plug-in Token-Ordering Module for Diffusion Language Models. The executable integrations, exact commands, and uncertainty reducers are in DakeBU/DPRM-DLLM. The paper is available at arXiv:2604.24357, and the scrollable visual galleries are on the project page.

The bundle retains one deployable DPRM checkpoint or controller per host when the host has trainable state. Baseline outputs are represented by raw matched records and are regenerated with the public commands. release_artifacts.json pins every reported file by byte size and SHA-256 digest.

Host	Retained artifacts
puma	dprm_2m, unmask3_question_traces
dmpo	math_confidence_records, math_dprm_records, countdown_dprm_checkpoint, countdown_confidence_records, countdown_dprm_records, matched_step5000_summary, record_source_map, matched_step5000_rows
prism	confidence_records, dprm_records
dplm	tchebycheff, cogen200_records
dcm	recovery_controller, formal_cell_records
genmol	balanced, denovo_records
sdpo	dprm_random, formal_records
omni_diffusion	selected_dprm_checkpoint_index, selected_dprm_checkpoint_config, development_records, confirmation_records, formal_result, development_split, confirmation_split, mechanism_manifest, mechanism_figure, checkpoint_model_00001_of_00004, checkpoint_model_00002_of_00004, checkpoint_model_00003_of_00004, checkpoint_model_00004_of_00004, supplement_mechanism_manifest, supplement_replay_manifest, supplement_replay_archive, supplement_omni_mechanism_cases_1, supplement_omni_mechanism_cases_2, supplement_omni_mechanism_cases_3, supplement_omni_mechanism_cases_4, qualitative_gallery_manifest, qualitative_gallery_records, qualitative_gallery_1, qualitative_gallery_2, qualitative_gallery_3, qualitative_gallery_4
llada_v	rwqa_controller, rwqa_records, ai2d_preregistered_diagnostic, qualitative_gallery_manifest, qualitative_gallery_records, qualitative_gallery_1, qualitative_gallery_2

Verification

git clone https://github.com/DakeBU/DPRM-DLLM.git
cd DPRM-DLLM
python scripts/verify_artifact_manifest.py \
  --manifest "$DPRM_ARTIFACT_ROOT/release_artifacts.json" \
  --artifact-root "$DPRM_ARTIFACT_ROOT" --require-complete
python scripts/audit_artifact_semantics.py \
  --artifact-root "$DPRM_ARTIFACT_ROOT"

See each integration README in the code repository for upstream model and dataset requirements. These artifacts do not replace the upstream licenses.

Library: pytorch
License: apache-2.0
Created: Aug 23, 2026
Updated: Aug 23, 2026