---
base_model:
- SanjiWatsuki/Kunoichi-7B
- cookinai/Valkyrie-V1
library_name: transformers
tags:
- mergekit
- merge

---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65bbcee1320702b1043ef8ae/9OPS0wrdkzksmyuM6Nxdu.png)
MaidenlessNoMore-7B was my first attempt at merging an LLM
I decided to use one of the first models I really enjoyed that not many people know of: 
https://huggingface.co/cookinai/Valkyrie-V1 with my other favorite model that has been my fallback model for a long time: https://huggingface.co/SanjiWatsuki/Kunoichi-7B 

This was more of an experiment than anything else. Hopefully this will lead to some more interesting merges and who knows what else in the future.
I mean we have to start somewhere right?

Alpaca or Alpaca roleplay is recommended.

# 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)
* [cookinai/Valkyrie-V1](https://huggingface.co/cookinai/Valkyrie-V1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: SanjiWatsuki/Kunoichi-7B
        layer_range: [0, 32]
      - model: cookinai/Valkyrie-V1
        layer_range: [0, 32]
merge_method: slerp
base_model: SanjiWatsuki/Kunoichi-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
```