base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: mistralai/Mistral-7B-v0.1
  - layer_range: [0, 32]
    model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      weight: 0.37
  - layer_range: [0, 32]
    model: cgato/Thespis-CurtainCall-7b-v0.2.2
    parameters:
      weight: 0.32
  - layer_range: [0, 32]
    model: NurtureAI/neural-chat-7b-v3-1-16k
    parameters:
      weight: 0.15
  - layer_range: [0, 32]
    model: cgato/Thespis-7b-v0.5-SFTTest-2Epoch
    parameters:
      weight: 0.38
  - layer_range: [0, 32]
    model: tavtav/eros-7b-test
    parameters:
      weight: 0.18