MyModelsMerge-7b / mergekit_config.yml
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models:
- model: Kukedlc/NeuralSirKrishna-7b
# no parameters necessary for base model
- model: liminerity/M7-7b
parameters:
weight: 0.1
density: 0.88
- model: Kukedlc/Neural4gsm8k
parameters:
weight: 0.1
density: 0.66
- model: Kukedlc/Jupiter-k-7B-slerp
parameters:
weight: 0.1
density: 0.66
- model: Kukedlc/NeuralMaxime-7B-slerp
parameters:
weight: 0.1
density: 0.44
- model: Kukedlc/NeuralFusion-7b-Dare-Ties
parameters:
weight: 0.1
density: 0.44
- model: Kukedlc/Neural-Krishna-Multiverse-7b-v3
parameters:
weight: 0.2
density: 0.66
- model: Kukedlc/NeuTrixOmniBe-DPO
parameters:
weight: 0.1
density: 0.33
- model: Kukedlc/NeuralSirKrishna-7b
parameters:
weight: 0.2
density: 0.88
merge_method: dare_ties
base_model: Kukedlc/NeuralSirKrishna-7b
parameters:
int8_mask: true
normalize: true
dtype: bfloat16