Diffusion-Learning-via-Strategic-Denoising-and-Remasking

NYCU-MLLab/Diffusion-Learning-via-Strategic-Denoising-and-Remasking

Text Generation2B parameterstransformersLicense: apache-2.0

Tracked by OpenModelStats since October 4, 2026View on Hugging Face ↗

Downloads 30D: 0
Total downloads: 0
Gained 7D: 0
Gained 30D: —
Likes: 0; +0 in 7D
Rank · tracked models: —; –this week
Parameters: 2B
Last source update: Aug 25, 2026

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OpenModelStats began tracking this model on 2026-10-04. Charts appear as daily observations accumulate.

Overview

Diffusion-Learning-via-Strategic-Denoising-and-Remasking is a text generation model published by NYCU-MLLab. OpenModelStats has tracked the model since Oct 4, 2026, most recently observing it Oct 5, 2026.

Published: Aug 25, 2026
Last updated: Aug 25, 2026
Library: transformers
License: apache-2.0
Task: Text Generation
Parameters: 2,035,950,593
Spaces: 0
Derivative models: —
Velocity 7D/day: 0

transformerssafetensorsdiffusion-language-modelsdardrpomathmath-500text-generationbase_model:JetLM/SDAR-1.7B-Chatbase_model:finetune:JetLM/SDAR-1.7B-Chatlicense:apache-2.0endpoints_compatible

Publisher

NYCU-MLLabView publisher statistics →

Model family

Based on base-model relationships reported by the source's metadata.

Base model

SDAR-1.7B-Chat4,885

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