haritzpuerto/microsoft-Phi-4-14B-IF-FA
010
Model Card
This model is a fine-tuned version of microsoft/Phi-4-reasoning
It was trained in 4-bit using bitsandbytes.
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="None", 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 SFT.
Framework versions
- PEFT 0.17.1
- TRL: 0.23.0
- Transformers: 4.57.1
- Pytorch: 2.8.0
- Datasets: 4.3.0
- Tokenizers: 0.22.1
Citations
@misc{puerto2026leakythoughtsprivatereasoning,
title={From Leaky Thoughts to Private Reasoning: Controlling What LRMs Say to Themselves},
author={Haritz Puerto and Haonan Li and Xudong Han and Timothy Baldwin and Iryna Gurevych},
year={2026},
eprint={2602.24210},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2602.24210},
}