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maid-yuzu-v1

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maid-yuzu-v1
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---
base_model:
- jondurbin/bagel-dpo-8x7b-v0.2
- mistralai/Mixtral-8x7B-Instruct-v0.1
- mistralai/Mixtral-8x7B-v0.1
- mistralai/Mixtral-8x7B-v0.1
- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
- Sao10K/Sensualize-Mixtral-bf16
tags:
- mergekit
- merge

---
# maid-yuzu-v1

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

This model is an attempt to slightly modify the merge options of BagelMIsteryTour-v2-8x7B to get a more lewd response.

## 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 [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2)
* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
* [Sao10K/Sensualize-Mixtral-bf16](https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model:
  model:
    path: mistralai/Mixtral-8x7B-v0.1
dtype: bfloat16
merge_method: dare_ties
slices:
- sources:
  - layer_range: [0, 32]
    model:
      lora:
        path: Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
      model:
        path: mistralai/Mixtral-8x7B-v0.1
    parameters:
      density: 0.55
      weight: 0.25
  - layer_range: [0, 32]
    model:
      model:
        path: Sao10K/Sensualize-Mixtral-bf16
    parameters:
      density: 0.55
      weight: 0.25
  - layer_range: [0, 32]
    model:
      model:
        path: mistralai/Mixtral-8x7B-Instruct-v0.1
    parameters:
      density: 0.6
      weight: 1.0
  - layer_range: [0, 32]
    model:
      model:
        path: jondurbin/bagel-dpo-8x7b-v0.2
    parameters:
      density: 0.6
      weight: 0.5
  - layer_range: [0, 32]
    model:
      model:
        path: mistralai/Mixtral-8x7B-v0.1
```