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1from transformers import pipeline
2
3question = "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?"
4generator = pipeline("text-generation", model="DebateLabKIT/Llama-3.1-Argunaut-1-8B-HIRPO", device="cuda")
5output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
6print(output["generated_text"])Phi-4-Argunaut-1-HIRPO technically masters formal argument analysis but has lost general conversational abilities during one-sided training.1@misc{zhang2023wisdomhindsightmakeslanguage,
2 title={The Wisdom of Hindsight Makes Language Models Better Instruction Followers},
3 author={Tianjun Zhang and Fangchen Liu and Justin Wong and Pieter Abbeel and Joseph E. Gonzalez},
4 year={2023},
5 eprint={2302.05206},
6 archivePrefix={arXiv},
7 primaryClass={cs.CL},
8 url={https://arxiv.org/abs/2302.05206},
9}1@misc{vonwerra2022trl,
2 title = {{TRL: Transformer Reinforcement Learning}},
3 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 Gallouédec},
4 year = 2020,
5 journal = {GitHub repository},
6 publisher = {GitHub},
7 howpublished = {\url{https://github.com/huggingface/trl}}
8}