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README.md
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## Quantization Details
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This quantized model was created using AutoAWQ version 0.2.8 with `quant_config`:
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```
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{
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"zero_point": True,
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"q_group_size": 128,
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"w_bit": 4,
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"version": "GEMM"
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}
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```
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---
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pipeline_tag: text-generation
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inference: true
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license: apache-2.0
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datasets:
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- simplescaling/s1K
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language:
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- en
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base_model:
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- simplescaling/s1-32B
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library_name: transformers
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---
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# Model Summary
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> s1 is a reasoning model finetuned from Qwen2.5-32B-Instruct on just 1,000 examples. It matches o1-preview & exhibits test-time scaling via budget forcing.
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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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The model usage is documented [here](https://github.com/simplescaling/s1?tab=readme-ov-file#inference).
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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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```
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