README.md

---
base_model:
- zelk12/MT1-Gen7-gemma-2-9B
- Sorawiz/Gemma-9B-Chat
- zelk12/MT-Merge6-gemma-2-9B
- TheDrummer/Tiger-Gemma-9B-v3
- IlyaGusev/gemma-2-9b-it-abliterated
- zelk12/MT-Gen6fix-gemma-2-9B
library_name: transformers
tags:
- mergekit
- merge
license: gemma
pipeline_tag: text-generation
---
# 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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [zelk12/MT-Gen6fix-gemma-2-9B](https://huggingface.co/zelk12/MT-Gen6fix-gemma-2-9B) as a base.

### Models Merged

The following models were included in the merge:
* [zelk12/MT1-Gen7-gemma-2-9B](https://huggingface.co/zelk12/MT1-Gen7-gemma-2-9B)
* [Sorawiz/Gemma-9B-Chat](https://huggingface.co/Sorawiz/Gemma-9B-Chat)
* [zelk12/MT-Merge6-gemma-2-9B](https://huggingface.co/zelk12/MT-Merge6-gemma-2-9B)
* [TheDrummer/Tiger-Gemma-9B-v3](https://huggingface.co/TheDrummer/Tiger-Gemma-9B-v3)
* [IlyaGusev/gemma-2-9b-it-abliterated](https://huggingface.co/IlyaGusev/gemma-2-9b-it-abliterated)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: zelk12/MT-Gen6fix-gemma-2-9B
    #no parameters necessary for base model
  - model: TheDrummer/Tiger-Gemma-9B-v3
    parameters:
      density: 0.5
      weight: 0.5
  - model: Sorawiz/Gemma-9B-Chat
    parameters:
      density: 0.5
      weight: 0.61
  - model: IlyaGusev/gemma-2-9b-it-abliterated
    parameters:
      density: 0.5
      weight: 0.68
  - model: zelk12/MT-Merge6-gemma-2-9B
    parameters:
      density: 0.5
      weight: 0.8
  - model: zelk12/MT1-Gen7-gemma-2-9B
    parameters:
      density: 0.5
      weight: 0.8

merge_method: dare_ties
base_model: zelk12/MT-Gen6fix-gemma-2-9B
parameters:
  normalize: true
dtype: bfloat16
```