---
base_model:
- c10x/CoT-2.5
- Qwen/Qwen2.5-7B
- EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
- huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
- Cran-May/T.E-8.1
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 [Qwen/Qwen2.5-7B](https://huggingface.co./Qwen/Qwen2.5-7B) as a base.

### Models Merged

The following models were included in the merge:
* [c10x/CoT-2.5](https://huggingface.co./c10x/CoT-2.5)
* [EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1](https://huggingface.co./EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1)
* [huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2](https://huggingface.co./huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2)
* [Cran-May/T.E-8.1](https://huggingface.co./Cran-May/T.E-8.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
    parameters:
      weight: 1
      density: 1

  - model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
    parameters:
      weight: 1
      density: 1
      

  - model: c10x/CoT-2.5
    parameters:
      weight: 0.1
      density: 0.1

  - model: Cran-May/T.E-8.1
    parameters:
      weight: 0.1
      density: 0.1
      

merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16

```