Quick start
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.
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:
@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:
@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}
}
