metadata

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.

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 TIES merge method using mistralai/Mixtral-8x7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

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