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---
base_model:
- ycros/BagelMIsteryTour-v2-8x7B
- NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
- smelborp/MixtralOrochi8x7B
tags:
- mergekit
- merge
---
# maid-yuzu-v3
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This model was created because I wanted to know how the density and weight values of the dare_ties method affect the base model.
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [smelborp/MixtralOrochi8x7B](https://huggingface.co/smelborp/MixtralOrochi8x7B) as a base.
### Models Merged
The following models were included in the merge:
* [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B)
* [NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model:
model:
path: smelborp/MixtralOrochi8x7B
dtype: bfloat16
merge_method: dare_ties
slices:
- sources:
- layer_range: [0, 32]
model:
model:
path: ycros/BagelMIsteryTour-v2-8x7B
parameters:
density: 0.6
weight: 0.25
- layer_range: [0, 32]
model:
model:
path: NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
parameters:
density: 0.4
weight: 0.1
- layer_range: [0, 32]
model:
model:
path: smelborp/MixtralOrochi8x7B
```
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