---
base_model:
- sam-paech/Delirium-v1
- lemon07r/Gemma-2-Ataraxy-v4c-9B
- princeton-nlp/gemma-2-9b-it-SimPO
- ClaudioItaly/Vangelus-Secundus
- nbeerbower/gemma2-gutenberg-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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [ClaudioItaly/Vangelus-Secundus](https://huggingface.co/ClaudioItaly/Vangelus-Secundus) as a base.

### Models Merged

The following models were included in the merge:
* [sam-paech/Delirium-v1](https://huggingface.co/sam-paech/Delirium-v1)
* [lemon07r/Gemma-2-Ataraxy-v4c-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v4c-9B)
* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
* [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: sam-paech/Delirium-v1
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: lemon07r/Gemma-2-Ataraxy-v4c-9B
    parameters:
      density: [1, 0.5, 0.1] # density gradient
      weight: 1.0
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: nbeerbower/gemma2-gutenberg-9B
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: ClaudioItaly/Vangelus-Secundus
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```