---
base_model:
- crestf411/daybreak-kunoichi-2dpo-7b
- ContextualAI/Contextual_KTO_Mistral_PairRM
library_name: transformers
tags:
- mergekit
- merge

---

Taking the highest rated Mistral 7B from Alpaca Eval: 

https://tatsu-lab.github.io/alpaca_eval/

[ContextualAI/Contextual_KTO_Mistral_PairRM](https://huggingface.co/ContextualAI/Contextual_KTO_Mistral_PairRM)

and SLERP merging with the highest rated Mistral 7B from froggerics creativity rankings: 

https://huggingface.co/datasets/froggeric/creativity

[crestf411/daybreak-kunoichi-2dpo-7b](https://huggingface.co/crestf411/daybreak-kunoichi-2dpo-7b)



In testing.......









# 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:
* [crestf411/daybreak-kunoichi-2dpo-7b](https://huggingface.co/crestf411/daybreak-kunoichi-2dpo-7b)
* [ContextualAI/Contextual_KTO_Mistral_PairRM](https://huggingface.co/ContextualAI/Contextual_KTO_Mistral_PairRM)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: crestf411/daybreak-kunoichi-2dpo-7b
        layer_range: [0, 32]
      - model: ContextualAI/Contextual_KTO_Mistral_PairRM
        layer_range: [0, 32]
merge_method: slerp
base_model: ContextualAI/Contextual_KTO_Mistral_PairRM
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
```