---
base_model: Qwen/Qwen2.5-32B-Instruct
library_name: transformers
model_name: step-conditional-control
tags:
- generated_from_trainer
- trl
- sft
license: apache-2.0
---

# Model Summary

- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1)
- **Paper:** TODO

# Use

This is the token-conditional control model for our paper. You can evaluate using the information [here](https://github.com/simplescaling/s1?tab=readme-ov-file#evaluation).

# Training information

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/hashimoto-group/o1/runs/i3e03g4y) 

- TRL: 0.13.0
- Transformers: 4.48.0
- Pytorch: 2.3.1
- Datasets: 3.0.1
- Tokenizers: 0.21.0

# Citation

```bibtex
TODO
```