models:
  - model: Kukedlc/NeuralContamination-7B-ties
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: Kukedlc/NeuralTopBench-7B-ties
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: Gille/StrangeMerges_32-7B-slerp
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: Kukedlc/NeuralMaxime-7B-slerp 
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16