---
base_model:
- ycros/BagelMIsteryTour-v2-8x7B
- smelborp/MixtralOrochi8x7B
- cognitivecomputations/dolphin-2.7-mixtral-8x7b
library_name: transformers
tags:
- mergekit
- merge

---
# maid-yuzu-v7

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

I don't know anything about merges, so this may be a stupid method, but I was curious how the models would be merged if I took this approach.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

This model is a model that first merges Model [Orochi](https://huggingface.co/smelborp/MixtralOrochi8x7B) with Model [dolphin](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b) with a 0.15 SLERP option, and then merges Model [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) with a 0.2 SLERP option based on the merged model.

### Models Merged

The following models were included in the merge:
* [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B)
* ../maid-yuzu-v7-base

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model:
  model:
    path: ../maid-yuzu-v7-base
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - value: 0.2
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: ../maid-yuzu-v7-base
  - layer_range: [0, 32]
    model:
      model:
        path: ycros/BagelMIsteryTour-v2-8x7B
```