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models:
- model: mlabonne/NeuralHermes-2.5-Mistral-7B # no parameters necessary for base model
- model: VAGOsolutions/SauerkrautLM-7b-HerO
parameters:
density: 0.3 # fraction of weights in differences from the base model to retain
weight: # weight gradient
- filter: mlp
value: 0.5
- value: 0
- model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
parameters:
density: 0.5
weight: 0.4
merge_method: ties
base_model: mlabonne/NeuralHermes-2.5-Mistral-7B
parameters:
normalize: true
int8_mask: true
dtype: float16
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