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