test002a.1 / mergekit_config.yml
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### 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