models:
  - model: AI-Sweden-Models/tyr
    # no parameters necessary for base model
  - model: timpal0l/Mistral-7B-v0.1-flashback-v2
    parameters:
      density: 0.5
      weight: 0.5
  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.3
  - model: RJuro/munin-neuralbeagle-7b
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
merge_method: ties
base_model: AI-Sweden-Models/tyr
parameters:
  normalize: true
dtype: bfloat16