---
base_model:
- SvalTek/Gemma-7B-ColdBrew-RP
- KishoreK/ActionGemma-9B
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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [SvalTek/Gemma-7B-ColdBrew-RP](https://huggingface.co/SvalTek/Gemma-7B-ColdBrew-RP)
* [KishoreK/ActionGemma-9B](https://huggingface.co/KishoreK/ActionGemma-9B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: slerp
base_model: "SvalTek/Gemma-7B-ColdBrew-RP"
slices:
  - sources:
      - model: "SvalTek/Gemma-7B-ColdBrew-RP"
        layer_range: [0, 42]
      - model: "KishoreK/ActionGemma-9B"
        layer_range: [0, 42]
    parameters:
      t:
        - filter: self_attn  # coherence from ActionGemma
          value: [0.3, 0.5, 0.7, 0.9, 1]
        - filter: mlp  # creativity from ColdBrew
          value: [0.7, 0.5, 0.3, 0.1, 0]
        - filter: layer_norm  # consistency from ActionGemma
          value: [0.4, 0.6, 0.8, 1, 1]
        - filter: pos_embed  # sequence understanding from ActionGemma
          value: [0.5, 0.7, 0.9, 1, 1]
        - value: 0.5
dtype: bfloat16
tokenizer_source: base
```