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---
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
```
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