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models:
- model: timpal0l/Mistral-7B-v0.1-flashback-v2
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: RJuro/munin-neuralbeagle-7b
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
- model: AI-Sweden-Models/tyr
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: mlabonne/NeuralBeagle14-7B
parameters:
normalize: true
int8_mask: true
dtype: float16
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