jhu-clsp/mmBERT-checkpoints

Ettin Checkpoints

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.

🔗 Related Resources

• Models: mmBERT Model Suite
• Phase 1: Pre-training Data (2.3T tokens)
• Phase 2: Mid-training Data (600B tokens)
• Phase 3: Decay Phase Data (100B tokens)
• Paper: Arxiv link
• Code: GitHub Repository

Citation

@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}, 
}