---
pipeline_tag: text-generation
inference: true
license: apache-2.0
datasets:
- simplescaling/s1K-1.1
library_name: transformers
base_model:
- simplescaling/s1.1-32B
base_model_relation: quantized
---

# Model Summary

## 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"
}
```

## Model details

> s1.1 is our sucessor of [s1](https://huggingface.co/simplescaling/s1-32B) with better reasoning performance by leveraging reasoning traces from r1 instead of Gemini.

- **Logs:** https://wandb.ai/hashimoto-group/o1/runs/m1ilia77/overview
- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1)
- **Paper:** https://arxiv.org/abs/2501.19393

This model is a successor of [s1-32B](https://huggingface.co/simplescaling/s1-32B) with slightly better performance. Thanks to [Ryan Marten](https://huggingface.co/ryanmarten) for helping generate r1 traces for s1K.

# Use

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

# Evaluation

| Metric | s1-32B | s1.1-32B | o1-preview | o1 | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|---|---|---|---|
| # examples | 1K | 1K | ? | ? | >800K | 800K |
| AIME2024 | 56.7 | 56.7 | 40.0 | 74.4 | 79.8 | 72.6 |
| AIME2025 I | 26.7 | 60.0 | 37.5 | ? | 65.0 | 46.1 |
| MATH500 | 93.0 | 95.4 | 81.4 | 94.8 | 97.3 | 94.3 |
| GPQA-Diamond | 59.6 | 63.6 | 75.2 | 77.3 | 71.5 | 62.1 |

Note that s1-32B and s1.1-32B use budget forcing in this table; specifically ignoring end-of-thinking and appending "Wait" once or twice.