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---
pipeline_tag: text-generation
inference: true
license: apache-2.0
datasets:
- simplescaling/s1K-1.1
base_model:
- Qwen/Qwen2.5-1.5B-Instruct
library_name: transformers
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
---
# Model Summary
> 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/tikatoka-snu/s1/runs/dfnv09nk
- **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 [Bespoke Labs](https://huggingface.co/bespokelabs) ([Ryan Marten](https://huggingface.co/ryanmarten)) for helping generate r1 traces for s1K with [Curator](https://github.com/bespokelabsai/curator/).
# Use
The model usage is documented [here](https://github.com/simplescaling/s1?tab=readme-ov-file#inference).
---
Model is trained with block_size 20000 |