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="wzx111/Qwen3-1.7B-Open-R1-ADPO", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

Visualize in Weights & Biases

This model was trained with ADPO, a method introduced in Anchored Direct Preference Optimization.

Framework versions

TRL: 0.26.0.dev0
Transformers: 4.57.1
Pytorch: 2.9.0+cu126
Datasets: 4.4.1
Tokenizers: 0.22.1

Citations

Cite ADPO as:

bibtex

@misc{zixian2025adpoanchoreddirectpreference,
    title={ADPO: Anchored Direct Preference Optimization}, 
    author={Wang Zixian},
    year={2025},
    eprint={2510.18913},
    archivePrefix={arXiv},
    primaryClass={cs.LG},
    url={https://arxiv.org/abs/2510.18913}, 
}

Cite TRL as:

bibtex

@misc{vonwerra2022trl,
	title        = {{TRL: Transformer Reinforcement Learning}},
	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
	year         = 2020,
	journal      = {GitHub repository},
	publisher    = {GitHub},
	howpublished = {\url{https://github.com/huggingface/trl}}
}