README.md

---
base_model:
- lemon07r/Gemma-2-Ataraxy-9B
- rtzr/ko-gemma-2-9b-it
- kdt3/1101_3_tab_v2.2.split.2_512
- wzhouad/gemma-2-9b-it-WPO-HB
- rtzr/ko-gemma-2-9b-it
- ghost613/gemma9_on_korean_summary_events
library_name: transformers
tags:
- mergekit
- merge

---
# output-model

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 [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B) as a base.

### Models Merged

The following models were included in the merge:
* [rtzr/ko-gemma-2-9b-it](https://huggingface.co/rtzr/ko-gemma-2-9b-it) + [kdt3/1101_3_tab_v2.2.split.2_512](https://huggingface.co/kdt3/1101_3_tab_v2.2.split.2_512)
* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
* [rtzr/ko-gemma-2-9b-it](https://huggingface.co/rtzr/ko-gemma-2-9b-it) + [ghost613/gemma9_on_korean_summary_events](https://huggingface.co/ghost613/gemma9_on_korean_summary_events)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: lemon07r/Gemma-2-Ataraxy-9B
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.7
            gamma: 0.03
      - model: wzhouad/gemma-2-9b-it-WPO-HB
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.42
            gamma: 0.03
      - model: rtzr/ko-gemma-2-9b-it+kdt3/1101_3_tab_v2.2.split.2_512
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.42
            gamma: 0.03
      - model: rtzr/ko-gemma-2-9b-it+ghost613/gemma9_on_korean_summary_events # lora model loading
        layer_range: [0, 42]
        parameters:
            weight: 1
            density: 0.42
            gamma: 0.03
merge_method: breadcrumbs_ties
base_model: lemon07r/Gemma-2-Ataraxy-9B
dtype: bfloat16
```