|
|
--- |
|
|
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 |
|
|
``` |
