NeuralShiva-7B-DT / mergekit_config.yml
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models:
- model: liminerity/M7-7b
# no parameters necessary for base model
- model: automerger/YamShadow-7B
parameters:
weight: 0.3
density: 0.5
- model: mlabonne/AlphaMonarch-7B
parameters:
weight: 0.2
density: 0.5
- model: automerger/OgnoExperiment27-7B
parameters:
weight: 0.2
density: 0.5
- model: Kukedlc/Jupiter-k-7B-slerp
parameters:
weight: 0.3
density: 0.5
merge_method: dare_ties
base_model: liminerity/M7-7b
parameters:
int8_mask: true
normalize: true
dtype: bfloat16