|
--- |
|
license: gemma |
|
license_name: license |
|
license_link: LICENSE |
|
base_model: |
|
- google/gemma-2-2b |
|
pipeline_tag: translation |
|
library_name: transformers |
|
language: |
|
- ar |
|
- bn |
|
- cs |
|
- de |
|
- en |
|
- es |
|
- fa |
|
- fr |
|
- he |
|
- hi |
|
- id |
|
- it |
|
- ja |
|
- km |
|
- ko |
|
- lo |
|
- ms |
|
- my |
|
- nl |
|
- pl |
|
- pt |
|
- ru |
|
- th |
|
- tl |
|
- tr |
|
- ur |
|
- vi |
|
- zh |
|
--- |
|
|
|
|
|
|
|
## Model Description |
|
GemmaX2-28-2B-Pretrain is a language model developed through continual pretraining of Gemma2-2B 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](https://arxiv.org/pdf/2502.02481). |
|
|
|
- **Developed by:** Xiaomi |
|
- **Model type:** GemmaX2-28-2B-Pretrain is obtained by continually pretraining Gemma2-2B on a large amount of monolingual and parallel data. Subsequently, GemmaX2-28-2B-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. |
|
|
|
**Note that GemmaX2-28-2B-Pretrain is NOT translation model.** |
|
|
|
|
|
## Training Data |
|
|
|
We collect monolingual data from [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX) and [MADLAD-400](https://huggingface.co/datasets/allenai/MADLAD-400). For parallel data, we collect all Chinese-centric and English-centric parallel datasets from the [OPUS](https://opus.nlpl.eu/) collection up to August 2024 and conduct a series of filtering processes, such as language identification, semantic duplication filtering, quality filtering, and more. |
|
|
|
|
|
## Citation |
|
|
|
```bibtex |
|
@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}, |
|
} |
|
``` |
