models:
  - model: mistralai/Mistral-7B-v0.1  # no parameters necessary for base model
  - model: WizardLM/WizardMath-7B-V1.0
    parameters:
      density: 0.5  # fraction of weights in differences from the base model to retain
      weight:   # weight gradient
        - filter: mlp
          value: 0.5
        - value: 0
  - model: VAGOsolutions/SauerkrautLM-7b-HerO
    parameters:
      density: 0.5
      weight: 0.5
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: true
  int8_mask: true
dtype: float16