README.md

---
base_model:
- OmnicromsBrain/ToppyCox-7B
- OmnicromsBrain/StoryFusion-7B
- OmnicromsBrain/NeuralStar_Fusion-7B
- OmnicromsBrain/EverythingBagel-DPO-7B
- OmnicromsBrain/Eros_Scribe-7b
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b) as a base.

### Models Merged

The following models were included in the merge:
* [OmnicromsBrain/ToppyCox-7B](https://huggingface.co/OmnicromsBrain/ToppyCox-7B)
* [OmnicromsBrain/StoryFusion-7B](https://huggingface.co/OmnicromsBrain/StoryFusion-7B)
* [OmnicromsBrain/NeuralStar_Fusion-7B](https://huggingface.co/OmnicromsBrain/NeuralStar_Fusion-7B)
* [OmnicromsBrain/EverythingBagel-DPO-7B](https://huggingface.co/OmnicromsBrain/EverythingBagel-DPO-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:

  - model: OmnicromsBrain/Eros_Scribe-7b
    parameters:
      weight: 0.2
      density: 0.9
  - model: OmnicromsBrain/EverythingBagel-DPO-7B
    parameters:
      weight: 0.2
      density: 0.9
  - model: OmnicromsBrain/NeuralStar_Fusion-7B
    parameters:
      weight: 0.2
      density: 0.9
  - model: OmnicromsBrain/StoryFusion-7B
    parameters:
      weight: 0.2
      density: 0.9
  - model: OmnicromsBrain/ToppyCox-7B
    parameters:
      weight: 0.2
      density: 0.9

merge_method: dare_ties
base_model: OmnicromsBrain/Eros_Scribe-7b
parameters:
  normalize: true
  int8_mask: true
dtype: float16
```