初始化项目，由ModelHub XC社区提供模型

Model: aisingapore/Qwen2.5-0.5B-DuDi
Source: Original Platform

README.md

@@ -0,0 +1,65 @@
+---
+library_name: transformers
+model_name: Qwen2.5-0.5B-DuDi
+tags:
+- generated_from_trainer
+- trl
+- dudi
+licence: license
+---
+
+# Model Card for Qwen2.5-0.5B-DuDi
+
+This model is a fine-tuned version of [Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="aisingapore/Qwen2.5-0.5B-DuDi", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+This model was trained with DuDi, a method introduced in [DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer](https://arxiv.org/abs/2606.04694).
+
+### Framework versions
+
+- TRL: 0.29.0
+- Transformers: 4.57.6
+- Pytorch: 2.9.1+cu129
+- Datasets: 4.7.0
+- Tokenizers: 0.22.2
+
+## Citations
+
+Cite DuDi as:
+
+```bibtex
+@misc{payoungkhamdee2026dudidualsignaldistillationcrosslingual,
+      title={DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer}, 
+      author={Patomporn Payoungkhamdee and Tinnakit Udsa and Jian Gang Ngui and Sarana Nutanong and Alham Fikri Aji and Peerat Limkonchotiwat},
+      year={2026},
+      eprint={2606.04694},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2606.04694}, 
+}
+```
+
+Cite TRL as:
+    
+```bibtex
+@software{vonwerra2020trl,
+  title   = {{TRL: Transformers Reinforcement Learning}},
+  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+  license = {Apache-2.0},
+  url     = {https://github.com/huggingface/trl},
+  year    = {2020}
+}
+```