slices:
  - sources:
      - model: mlabonne/NeuralHermes-2.5-Mistral-7B
        layer_range: [0, 32]
      - model: teknium/OpenHermes-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: mlabonne/NeuralHermes-2.5-Mistral-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.3, 0.6, 0.9, 1]  # Progressive fusion des couches d'attention
    - filter: mlp
      value: [1, 0.7, 0.4, 0.1, 0]  # Transition inverse pour les MLP
    - value: 0.45  # Ratio de fusion global
dtype: bfloat16