merge_method: dare_linear
models:
  - model: MrRobotoAI/Llama-3-8B-Uncensored-0.5
    parameters:
      weight:
        - filter: v_proj
          value: [0.45, 0.45, 0.55, 0.45, 0.35, 0.25, 0.35, 0.45, 0.55, 0.45, 0.45]
        - filter: o_proj
          value: [0.45, 0.45, 0.55, 0.45, 0.35, 0.25, 0.35, 0.45, 0.55, 0.45, 0.45]
        - filter: up_proj
          value: [0.45, 0.45, 0.55, 0.45, 0.35, 0.25, 0.35, 0.45, 0.55, 0.45, 0.45]
        - filter: gate_proj
          value: [0.45, 0.45, 0.55, 0.45, 0.35, 0.25, 0.35, 0.45, 0.55, 0.45, 0.45]
        - filter: down_proj
          value: [0.45, 0.45, 0.55, 0.45, 0.35, 0.25, 0.35, 0.45, 0.55, 0.45, 0.45]
        - value: 1
  - model: MrRobotoAI/Llama-3-8B-Uncensored-64k
    parameters:
      weight:
        - filter: v_proj
          value: [0.55, 0.55, 0.45, 0.55, 0.65, 0.75, 0.65, 0.55, 0.45, 0.55, 0.55]
        - filter: o_proj
          value: [0.55, 0.55, 0.45, 0.55, 0.65, 0.75, 0.65, 0.55, 0.45, 0.55, 0.55]
        - filter: up_proj
          value: [0.55, 0.55, 0.45, 0.55, 0.65, 0.75, 0.65, 0.55, 0.45, 0.55, 0.55]
        - filter: gate_proj
          value: [0.55, 0.55, 0.45, 0.55, 0.65, 0.75, 0.65, 0.55, 0.45, 0.55, 0.55]
        - filter: down_proj
          value: [0.55, 0.55, 0.45, 0.55, 0.65, 0.75, 0.65, 0.55, 0.45, 0.55, 0.55]
        - value: 0
base_model: MrRobotoAI/Llama-3-8B-Uncensored-64k
tokenizer_source: base
dtype: bfloat16