README.md

metadata

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.

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 TIES merge method using smelborp/MixtralOrochi8x7B as a base.

Models Merged

The following models were included in the merge:

• ycros/BagelMIsteryTour-v2-8x7B
• NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO

Configuration

The following YAML configuration was used to produce this model:

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