license, datasets, language, base_model, pipeline_tag

license	datasets	language	base_model	pipeline_tag
gemma	pkupie/mc2_corpus	ug	google/gemma-3-4b-pt	text-generation

Gemma 3 PT 4B Continually Pretrained on Uyghur

This model is a continual pretraining (CPT) checkpoint built by further pretraining Gemma 3 PT 4B on the Uyghur portion of the MC^2 Corpus.

The model is intended to improve Uyghur language modeling and to support research on low-resource language adaptation.

Training details and methodology are described in: "Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion" (ACL 2026).

Training Data

• Corpus: Uyghur subset of MC^2 Corpus
• Language: Uyghur (ug)
• Training paradigm: Continual pretraining (CPT) starting from Gemma 3 PT 4B

Intended Use

This checkpoint is released primarily for research purposes. Researchers are welcome to use this CPT checkpoint as a base model for future work, particularly in model merging and logit fusion.

Citation

If you use this model, please cite:

@article{zhang2026efficient,
  title={Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion},
  author={Zhang, Chen and Lin, Jiuheng and Liao, Zhiyuan and Feng, Yansong},
  journal={arXiv preprint arXiv:2604.18106},
  year={2026}
}