---
base_model:
- Qwen/Qwen2.5-Math-7B
- Qwen/Qwen2.5-7B-Instruct
library_name: transformers
tags:
- mergekit
- merge

---
# Qwen2.5-7B-Instruct-Math-slerp

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Performance
|             Metric              |Value|
|---------------------------------|----:|
|GSM8k (zero-shot)                |91.05|
|HellaSwag (zero-Shot)            |81.01|
|MBPP (zero-shot)                 |61.48|

## Merge Details
### Merge Method

This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.

### Models Merged

The following models were included in the merge:
* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: Qwen/Qwen2.5-7B-Instruct
dtype: bfloat16
merge_method: slerp
parameters:
  t: 0.1
slices:
- sources:
  - layer_range: [0, 28]
    model: Qwen/Qwen2.5-7B-Instruct
  - layer_range: [0, 28]
    model: Qwen/Qwen2.5-Math-7B
```