SuperMente-7B-v2 / mergekit_config.yml
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models:
- model: NousResearch/Hermes-2-Pro-Mistral-7B
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: mlabonne/AlphaMonarch-7B
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
- model: Weyaxi/Einstein-v4-7B
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: mlabonne/AlphaMonarch-7B
parameters:
normalize: true
int8_mask: true
dtype: bfloat16