---
datasets:
- TIGER-Lab/MathInstruct
---

## Introduction
The model is trained with Masked Thought Fine-Tuning (MFT), a simple variant of standard Supervised Fine-Tuning (SFT). You can refer to our code and paper below.

## Links
- **Code**: [https://github.com/ChangyuChen347/MaskedThought](https://github.com/ChangyuChen347/MaskedThought)
- **Paper**: [https://arxiv.org/abs/2403.02178](https://arxiv.org/abs/2403.02178)

## Results
We test it with the Hybrid decoding scripts provided in [MAmmoTH](https://github.com/TIGER-AI-Lab/MAmmoTH).
| Model                                                                                                               | GSM8K | MATH  |
|----------------------------------------------------------------------------------------------------------------------------------|-------|-------|
| [adalaw/MAmmoTH-7B-Mistral-MFT](https://huggingface.co/adalaw/MAmmoTH-7B-Mistral-MFT)                                            | 77.10 | 41.2  |
| [TIGER-Lab/MAmmoTH-7B-Mistral-SFT](https://huggingface.co/TIGER-Lab/MAmmoTH-7B-Mistral)                                          | 75.00 | 40.0  |