test002a.1 / README.md
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metadata
base_model:
  - jdqwoi/TooManyMixRolePlay-7B-Story_V3.5
  - MaziyarPanahi/Mistral-7B-claude-instruct-Mistral-7B-Instruct-v0.2-slerp
  - MrRobotoAI/Test001a.2
  - ajibawa-2023/General-Stories-Mistral-7B
  - KnutJaegersberg/Mistral-7B-EssayWriter
  - luozhuanggary/GOAT-v0.2-Mistral-7B-Claude
  - tdh87/StoryTeller7b-meh
  - ajibawa-2023/Young-Children-Storyteller-Mistral-7B
  - scribis/Fantastica-7b-Instruct-0.2-Italian_merged
  - kasper52786/StoryWeaver-7b-Instruct-v0.1
library_name: transformers
tags:
  - mergekit
  - merge

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear DARE merge method using MrRobotoAI/Test001a.2 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

### This the config.yml for ABC_Books/test002 ###
 models:

  - model: KnutJaegersberg/Mistral-7B-EssayWriter
    parameters:
      weight: 0.1
      density: 0.9
  - model: MaziyarPanahi/Mistral-7B-claude-instruct-Mistral-7B-Instruct-v0.2-slerp
    parameters:
      weight: 0.1
      density: 0.9
  - model: ajibawa-2023/General-Stories-Mistral-7B
    parameters:
      weight: 0.1
      density: 0.9
  - model: ajibawa-2023/Young-Children-Storyteller-Mistral-7B
    parameters:
      weight: 0.1
      density: 0.9
  - model: jdqwoi/TooManyMixRolePlay-7B-Story_V3.5
    parameters:
      weight: 0.1
      density: 0.9
  - model: kasper52786/StoryWeaver-7b-Instruct-v0.1
    parameters:
      weight: 0.1
      density: 0.9
  - model: luozhuanggary/GOAT-v0.2-Mistral-7B-Claude
    parameters:
      weight: 0.1
      density: 0.9
  - model: scribis/Fantastica-7b-Instruct-0.2-Italian_merged
    parameters:
      weight: 0.1
      density: 0.9
  - model: tdh87/StoryTeller7b-meh
    parameters:
      weight: 0.1
      density: 0.9
  - model: MrRobotoAI/Test001a.2
    parameters:
      weight: 0.1
      density: 0.9

 merge_method: dare_linear
  ### Now this model best exemplifies the closest match to all of the features needed in the final model. So it now becomes the base model for merges ###
 base_model: MrRobotoAI/Test001a.2
 parameters:
  normalize: true
 dtype: float16