metadata
library_name: transformers
license: mit
language:
- en
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
pipeline_tag: text-generation
datasets:
- HINT-lab/DeepSeek-R1-Distill-Qwen-1.5B-Self-Calibration
Model Card for Model ID
Model trained based on deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B by Self-Calibration proposed by Efficient Test-Time Scaling via Self-Calibration.
Model Sources
- Repository: https://github.com/Chengsong-Huang/Self-Calibration
- Paper : Efficient Test-Time Scaling via Self-Calibration
Citation
BibTeX:
@misc{huang2025efficienttesttimescalingselfcalibration,
title={Efficient Test-Time Scaling via Self-Calibration},
author={Chengsong Huang and Langlin Huang and Jixuan Leng and Jiacheng Liu and Jiaxin Huang},
year={2025},
eprint={2503.00031},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2503.00031},
}