slices:
  - sources:
      - model: Undi95/MLewd-ReMM-L2-Chat-20B-Inverted
        layer_range: [0, 62]  # MLewd-ReMM-L2-Chat-20B-Inverted has 62 layers
      - model: Undi95/PsyMedRP-v1-20B
        layer_range: [0, 62]  # PsyMedRP-v1-20B has 62 layers
merge_method: slerp  # Or use another method like weight_average if needed
base_model: Undi95/PsyMedRP-v1-20B  # Can use either as the base model
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]  # Tune these for desired effect
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5  # Default averaging weight
dtype: bfloat16  # Use preferred dtype, like fp16 or float32 if needed