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jhu-clsp/mmBERT-checkpoints
mmBERT-checkpoints is a machine learning model from jhu-clsp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
[](https://opensource.org/licenses/MIT) [](https://arxiv.org/abs/2509.06888) [](https://huggingface.co/collections/jhu-clsp/mmbert-a-modern-multilingual-encoder-68b725831d7c6e3acc435ed4)
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Updated Sep 9, 2025
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From the Hugging Face model README
This repository contains the raw training checkpoints for the mmBERT models. Each model contains three subfolders for decay, ext, and pretrain.
These files work with Composer and contain all state needed to resume pre-training. Please see the ModernBERT repository for usage details.
@misc{marone2025mmbertmodernmultilingualencoder,
title={mmBERT: A Modern Multilingual Encoder with Annealed Language Learning},
author={Marc Marone and Orion Weller and William Fleshman and Eugene Yang and Dawn Lawrie and Benjamin Van Durme},
year={2025},
eprint={2509.06888},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2509.06888},
}