Model Description
GemmaX2-28-9B-Pretrain is a language model developed through continual pretraining of Gemma2-9B using a mix of 56 billion tokens from both monolingual and parallel data across 28 different languages. Please find more details in our paper: Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study.
- Developed by: Xiaomi
- Model type: GemmaX2-28-9B-Pretrain is obtained by continually pretraining Gemma2-9B on a large amount of monolingual and parallel data. Subsequently, GemmaX2-28-9B-v0.1 is derived through supervised finetuning on a small set of high-quality translation instruction data.
- Languages: Arabic, Bengali, Czech, German, English, Spanish, Persian, French, Hebrew, Hindi, Indonesian, Italian, Japanese, Khmer, Korean, Lao, Malay, Burmese, Dutch, Polish, Portuguese, Russian, Thai, Tagalog, Turkish, Urdu, Vietnamese, Chinese.
- Github: Please find more details in our Github repository.
Note that GemmaX2-28-9B-Pretrain is NOT translation model.
Training Data
We collect monolingual data from CulturaX and MADLAD-400. For parallel data, we collect all Chinese-centric and English-centric parallel datasets from the OPUS collection up to August 2024 and conduct a series of filtering processes, such as language identification, semantic duplication filtering, quality filtering, and more.
Citation
@misc{cui2025multilingualmachinetranslationopen,
title={Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study},
author={Menglong Cui and Pengzhi Gao and Wei Liu and Jian Luan and Bin Wang},
year={2025},
eprint={2502.02481},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.02481},
}