---
base_model:
- Qwen/Qwen2.5-7B-Instruct
- Qwen/Qwen2.5-Math-7B
- EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
- katanemo/Arch-Function-7B
- happzy2633/qwen2.5-7b-ins-v3
library_name: transformers
tags:
- mergekit
- merge

---
# merge

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

## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [happzy2633/qwen2.5-7b-ins-v3](https://huggingface.co/happzy2633/qwen2.5-7b-ins-v3) as a base.

### Models Merged

The following models were included in the merge:
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
* [EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1)
* [katanemo/Arch-Function-7B](https://huggingface.co/katanemo/Arch-Function-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: happzy2633/qwen2.5-7b-ins-v3
    #no parameters necessary for base model
  - model: Qwen/Qwen2.5-Math-7B
    parameters:
      density: 0.4
      weight: 0.4
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      density: 0.2
      weight: 0.2
  - model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
    parameters:
      density: 0.3
      weight: 0.3
  - model: katanemo/Arch-Function-7B
    parameters:
      density: 0.1
      weight: 0.1
merge_method: ties
base_model: happzy2633/qwen2.5-7b-ins-v3
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
```