---
base_model:
- unsloth/gemma-2-9b-it
- anthracite-org/magnum-v3-9b-customgemma2
- rtzr/ko-gemma-2-9b-it
- flammenai/Mahou-1.3-gemma2-9B
- AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity
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 [unsloth/gemma-2-9b-it](https://huggingface.co/unsloth/gemma-2-9b-it) as a base.

### Models Merged

The following models were included in the merge:
* [anthracite-org/magnum-v3-9b-customgemma2](https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2)
* [rtzr/ko-gemma-2-9b-it](https://huggingface.co/rtzr/ko-gemma-2-9b-it)
* [flammenai/Mahou-1.3-gemma2-9B](https://huggingface.co/flammenai/Mahou-1.3-gemma2-9B)
* [AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity](https://huggingface.co/AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: unsloth/gemma-2-9b-it
merge_method: ties

slices:
  - sources:
      - model: unsloth/gemma-2-9b-it
        layer_range: [0, 42]
        parameters:
          density: 0.5
          weight: 0.3
      - model: rtzr/ko-gemma-2-9b-it
        layer_range: [0, 42]
        parameters:
          density: 0.45
          weight: 0.4
      - model: AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity
        layer_range: [0, 42]
        parameters:
          density: 0.4
          weight: 0.1
      - model: anthracite-org/magnum-v3-9b-customgemma2
        layer_range: [0, 42]
        parameters:
          density: 0.45
          weight: 0.15
      - model: flammenai/Mahou-1.3-gemma2-9B
        layer_range: [0, 42]
        parameters:
          density: 0.5
          weight: 0.05
    merge_mode: cat
    dtype: bfloat16

parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
```