---
base_model:
- simplescaling/s1-32B
pipeline_tag: text-generation
---
## Quantization Details

This quantized model was created using AutoAWQ version 0.2.8 with `quant_config`:
```
{
  "zero_point": True,
  "q_group_size": 128,
  "w_bit": 4,
  "version": "GEMM"
}
```

---
pipeline_tag: text-generation
inference: true
license: apache-2.0
datasets:
- simplescaling/s1K
language:
- en
base_model:
- simplescaling/s1-32B
library_name: transformers
---

# Model Summary

> 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.

- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1)
- **Paper:** https://arxiv.org/abs/2501.19393

# Use

The model usage is documented [here](https://github.com/simplescaling/s1?tab=readme-ov-file#inference).

# Citation

```bibtex
@misc{muennighoff2025s1simpletesttimescaling,
      title={s1: Simple test-time scaling}, 
      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},
      year={2025},
      eprint={2501.19393},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2501.19393}, 
}
```