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--- |
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base_model: Qwen/Qwen2.5-32B-Instruct |
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library_name: transformers |
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model_name: step-conditional-control |
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tags: |
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- generated_from_trainer |
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- trl |
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- sft |
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license: apache-2.0 |
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--- |
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# Model Summary |
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- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1) |
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- **Paper:** https://arxiv.org/abs/2501.19393 |
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# Use |
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This is an older step-conditional control model for our paper used only for the Discussion section. You can evaluate using the information [here](https://github.com/simplescaling/s1?tab=readme-ov-file#evaluation). |
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# Training information |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/hashimoto-group/o1/runs/rkflww8e) |
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- TRL: 0.13.0 |
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- Transformers: 4.48.0 |
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- Pytorch: 2.3.1 |
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- Datasets: 3.0.1 |
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- Tokenizers: 0.21.0 |
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# Citation |
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```bibtex |
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@misc{muennighoff2025s1simpletesttimescaling, |
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title={s1: Simple test-time scaling}, |
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author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto}, |
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year={2025}, |
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eprint={2501.19393}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2501.19393}, |
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} |
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``` |
