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MSALab/LLaDA-8B-Instruct-HF
LLaDA-8B-Instruct-HF is a text generation model from MSALab. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This repository hosts a re-formatted version of GSAI-ML/LLaDA-8B-Instruct, a large language diffusion model (LLaDA). Specifically, we convert the original LLaDA weights into the LLM-part format used by LLaDA-V (the LL…
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From the Hugging Face model README
This repository hosts a re-formatted version of GSAI-ML/LLaDA-8B-Instruct, a large language diffusion model (LLaDA). Specifically, we convert the original LLaDA weights into the LLM-part format used by LLaDA-V (the LLaVA-style multimodal LLaDA), so the checkpoint can be directly plugged in as the language backbone of our PerceptionDLM training and inference pipeline.
The weights are functionally identical to the original LLaDA-8B-Instruct; only the parameter-key naming and index/config files are adapted to match the LLaDA-V LLM module. It is used as the diffusion language backbone for PerceptionDLM-Base and PerceptionDLM.
<p align="center"> 📄 <a href="https://arxiv.org/abs/2606.19534">PerceptionDLM Paper</a> | 💻 <a href="https://github.com/MSALab-PKU/PerceptionDLM">Code</a> | 🔗 <a href="https://huggingface.co/GSAI-ML/LLaDA-8B-Instruct">Original LLaDA-8B-Instruct</a> </p>GSAI-ML/LLaDA-8B-Instruct.language_model.name_or_path in our training configs.You can also reproduce this conversion yourself:
python scripts/convert.py \
--model_path /path/to/LLaDA-8B-Instruct \
--output /path/to/LLaDA-8B-Instruct-HF
This checkpoint is primarily intended to be consumed by the PerceptionDLM pipeline. Please refer to the GitHub repository for setup and usage. For standalone LLaDA usage and generation details, see the original LLaDA repository.
If you use this checkpoint, please cite both LLaDA and PerceptionDLM:
@article{nie2025llada,
title = {Large Language Diffusion Models},
author = {Nie, Shen and Zhu, Fengqi and You, Zebin and Zhang, Xiaolu and Ou, Jingyang and Hu, Jun and Zhou, Jun and Lin, Yankai and Wen, Ji-Rong and Li, Chongxuan},
journal = {arXiv preprint arXiv:2502.09992},
year = {2025}
}
@article{sun2026perceptiondlm,
title = {PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models},
author = {Sun, Yueyi and Wang, Yuhao and Li, Jason and Tian, Ye and Zhang, Tao and Mai, Jacky and Wang, Yihan and Wang, Haochen and Bai, Jinbin and Yang, Ling and Tong, Yunhai},
journal = {arXiv preprint arXiv:2606.19534},
year = {2026}
}
This conversion follows the license of the original GSAI-ML/LLaDA-8B-Instruct release. Please consult the original model card for the authoritative license terms before use.