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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

Results

We test it with the scripts provided in our code.

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Model size
6.74B params
Tensor type
F32
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Dataset used to train adalaw/Llama2-7B-GSM8K-MFT