---
base_model:
- SanjiWatsuki/Silicon-Maid-7B
- sethuiyer/Aika-7B
- sethuiyer/Nandine-7b
- mlabonne/AlphaMonarch-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 [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) as a base.

### Models Merged

The following models were included in the merge:
* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
* [sethuiyer/Aika-7B](https://huggingface.co/sethuiyer/Aika-7B)
* [sethuiyer/Nandine-7b](https://huggingface.co/sethuiyer/Nandine-7b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

base_model: mlabonne/AlphaMonarch-7B
dtype: bfloat16
merge_method: dare_ties
models:
- model: mlabonne/AlphaMonarch-7B
- model: sethuiyer/Aika-7B
  parameters:
    density: 0.85
    weight: 0.30
- model: SanjiWatsuki/Silicon-Maid-7B
  parameters:
    density: 0.85
    weight: 0.50
- model: sethuiyer/Nandine-7b
  parameters:
    density: 0.85
    weight: 0.30
parameters:
  int8_mask: true

```