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Model: pkupie/Qwen2.5-1.5B-kk-cpt
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---
license: apache-2.0
datasets:
- pkupie/mc2_corpus
language:
- kk
base_model:
- Qwen/Qwen2.5-1.5B
pipeline_tag: text-generation
---
# Qwen2.5-1.5B Continually Pretrained on Kazakh (Arabic Script)
This model is a continual pretraining (CPT) checkpoint built by further pretraining Qwen2.5 1.5B on the Kazakh (Arabic Script) portion of the [MC^2 Corpus](https://huggingface.co/datasets/pkupie/mc2_corpus).
The model is intended to improve Kazakh 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"](https://arxiv.org/abs/2604.18106) (ACL 2026).
## Training Data
* **Corpus:** Kazakh subset of MC^2 Corpus
* **Language:** Kazakh (`kk`, Arabic Script)
* **Training paradigm:** Continual pretraining (CPT) starting from Qwen2.5-1.5B
## 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:
```bibtex
@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}
}
```

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