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chongli17/DMoE-Bloom-560M-16Experts-128Langs
DMoE-Bloom-560M-16Experts-128Langs is a machine learning model from chongli17. 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 bigscience-bloom-rail-1.0.
The model is extended from Bloom-560m and continues to train 17.7B tokens on the 128 languages text of MADLAD-400.
Downloads · 30 days
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From the Hugging Face model README
The model is extended from Bloom-560m and continues to train 17.7B tokens on the 128 languages text of MADLAD-400.
The code used to train this model refers to the github repo.
@inproceedings{li-etal-2025-DMoE,
author = {Chong Li and
Yingzhuo Deng and
Jiajun Zhang and
Chengqing Zong},
title = "Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
}