README.md

---
base_model:
- mistralai/Mistral-7B-v0.1
- SanjiWatsuki/Kunoichi-DPO-v2-7B
- SanjiWatsuki/Kunoichi-7B
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---
# kunoichi-squared-model_stock-7B

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). The base model used is literally the base model. While the result is syntactically stable, there was something about the resulting narrative generation that seemed off. Perhaps more than 2 models are required for successful model stock merges.

## Merge Details
### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
* [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: model_stock
slices:
- sources:
  - layer_range: [0, 32]
    model: mistralai/Mistral-7B-v0.1
  - layer_range: [0, 32]
    model: SanjiWatsuki/Kunoichi-7B
  - layer_range: [0, 32]
    model: SanjiWatsuki/Kunoichi-DPO-v2-7B

```