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+ ## Quantization Details
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+
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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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+ ---
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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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+
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+ # Model Summary
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+
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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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+
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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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+
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+ # Use
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+
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+ The model usage is documented [here](https://github.com/simplescaling/s1?tab=readme-ov-file#inference).
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+
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+ # Citation
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+
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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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+ ```