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---
base_model:
- Qwen/Qwen2.5-Math-7B
- katanemo/Arch-Function-7B
- happzy2633/qwen2.5-7b-ins-v3
- EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
- Qwen/Qwen2.5-7B-Instruct
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-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
* [katanemo/Arch-Function-7B](https://huggingface.co/katanemo/Arch-Function-7B)
* [EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1)
* [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
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
```
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