---
base_model:
- Gunulhona/Gemma-Ko-Med
- Shaleen123/gemma2-9b-medical
- valeriojob/MedGPT-Gemma2-9B-BA-v.1
- ChuGyouk/ko-med-gemma-2-9b-it-merge2
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 breadcrumbs_ties merge method using [Gunulhona/Gemma-Ko-Med](https://huggingface.co/Gunulhona/Gemma-Ko-Med) as a base.

### Models Merged

The following models were included in the merge:
* [Shaleen123/gemma2-9b-medical](https://huggingface.co/Shaleen123/gemma2-9b-medical)
* [valeriojob/MedGPT-Gemma2-9B-BA-v.1](https://huggingface.co/valeriojob/MedGPT-Gemma2-9B-BA-v.1)
* [ChuGyouk/ko-med-gemma-2-9b-it-merge2](https://huggingface.co/ChuGyouk/ko-med-gemma-2-9b-it-merge2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: ChuGyouk/ko-med-gemma-2-9b-it-merge2
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.03
  - model: Shaleen123/gemma2-9b-medical
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.03
  - model: valeriojob/MedGPT-Gemma2-9B-BA-v.1
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.03
  - model: Gunulhona/Gemma-Ko-Med
    layer_range: [0, 42]
    parameters:
        weight: 1
        density: 0.42
        gamma: 0.09
merge_method: breadcrumbs_ties
base_model: Gunulhona/Gemma-Ko-Med
dtype: float16
```