初始化项目，由ModelHub XC社区提供模型

Model: pkupie/Qwen2.5-1.5B-kk-cpt
Source: Original Platform

README.md

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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}
+}
+```