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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-1.1 |
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library_name: transformers |
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base_model: |
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- simplescaling/s1.1-32B |
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base_model_relation: quantized |
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--- |
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# Model Summary |
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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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## Model details |
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> 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. |
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- **Logs:** https://wandb.ai/hashimoto-group/o1/runs/m1ilia77/overview |
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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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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. |
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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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# Evaluation |
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| Metric | s1-32B | s1.1-32B | o1-preview | o1 | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B | |
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|---|---|---|---|---|---|---| |
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| # examples | 1K | 1K | ? | ? | >800K | 800K | |
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| AIME2024 | 56.7 | 56.7 | 40.0 | 74.4 | 79.8 | 72.6 | |
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| AIME2025 I | 26.7 | 60.0 | 37.5 | ? | 65.0 | 46.1 | |
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| MATH500 | 93.0 | 95.4 | 81.4 | 94.8 | 97.3 | 94.3 | |
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| GPQA-Diamond | 59.6 | 63.6 | 75.2 | 77.3 | 71.5 | 62.1 | |
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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. |
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