mergekit_config.yml

models:
  - model: Kukedlc/NeuralSirKrishna-7b
    # no parameters necessary for base model
  - model: liminerity/M7-7b
    parameters:
      weight: 0.1
      density: 0.88
  - model: Kukedlc/Neural4gsm8k
    parameters:
      weight: 0.1
      density: 0.66
  - model: Kukedlc/Jupiter-k-7B-slerp
    parameters:
      weight: 0.1
      density: 0.66
  - model: Kukedlc/NeuralMaxime-7B-slerp
    parameters:
      weight: 0.1
      density: 0.44
  - model: Kukedlc/NeuralFusion-7b-Dare-Ties
    parameters:
      weight: 0.1
      density: 0.44
  - model: Kukedlc/Neural-Krishna-Multiverse-7b-v3
    parameters:
      weight: 0.2
      density: 0.66
  - model: Kukedlc/NeuTrixOmniBe-DPO
    parameters:
      weight: 0.1
      density: 0.33
  - model: Kukedlc/NeuralSirKrishna-7b
    parameters:
      weight: 0.2
      density: 0.88
merge_method: dare_ties
base_model: Kukedlc/NeuralSirKrishna-7b

parameters:
  int8_mask: true
  normalize: true
dtype: bfloat16