mergekit_config.yml

slices:
  - sources:
      - model: CorticalStack/shadow-clown-7B-slerp
        layer_range: [0, 32]
      - model: Kukedlc/Neural4gsm8k
        layer_range: [0, 32]
merge_method: slerp
base_model: CorticalStack/shadow-clown-7B-slerp
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

slices:
  - sources:
      - model: Kukedlc/NeuralSirKrishna-7b
        layer_range: [0, 32]
      - model: Kukedlc/NeuralKybalion-7B-slerp-v3
        layer_range: [0, 32]
merge_method: slerp
base_model: Kukedlc/NeuralSirKrishna-7b
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16


slices:
  - sources:
      - model: Kukedlc/NeuralMaxime-7B-slerp
        layer_range: [0, 32]
      - model: Kukedlc/Neural-Cosmic-Boy-7B-slerp
        layer_range: [0, 32]
merge_method: slerp
base_model: Kukedlc/NeuralMaxime-7B-slerp
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16


slices:
  - sources:
      - model: Kukedlc/SuperMente-7B-v2
        layer_range: [0, 32]
      - model: Kukedlc/SuperMente-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: Kukedlc/SuperMente-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16