slices:
  - sources:
      - model: /media/data5/hf_models/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
        layer_range: [0, 32]
      - model: /media/data5/hf_models/Mistral-7B-Merge-14-v0.3
        layer_range: [0, 32]

merge_method: slerp
base_model: /media/data5/hf_models/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-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 # fallback for rest of tensors
tokenizer_source: base
embed_slerp: true

dtype: bfloat16