---
base_model:
- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
- lemon07r/Gemma-2-Ataraxy-9B
- ifable/gemma-2-Ifable-9B
- nbeerbower/gemma2-gutenberg-9B
library_name: transformers
tags:
- mergekit
- merge

---
Modello GGUF https://huggingface.co/ClaudioItaly/FourFictionGemma-9-Q5_K_M-GGUF

# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
I created a fusion of 4 Gemma2 models specializing in storytelling and fictional writing. 
This pattern requires the GEMMA Instruct pattern. 
Responds very well to Prompts
## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B) as a base.

### Models Merged

The following models were included in the merge:
* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
* [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B)
* [nbeerbower/gemma2-gutenberg-9B](https://huggingface.co/nbeerbower/gemma2-gutenberg-9B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nbeerbower/gemma2-gutenberg-9B
    parameters:
      density: 0.5
      weight: 0.5
  - model: lemon07r/Gemma-2-Ataraxy-9B
    parameters:
      density: 0.5
      weight: 0.5
  - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
    parameters:
      density: 0.5
      weight: 0.5
merge_method: dare_ties
base_model: ifable/gemma-2-Ifable-9B
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```