merge_method: dare_ties
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16

parameters:
  int8_mask: true
  normalize: true
  rescale: true
  density: 0.2    # Global fallback

slices:
  # 1️⃣ Foundation [0-8]
  - sources:
      - model: meta-llama/Meta-Llama-3.1-8B-Instruct
        layer_range: [0, 8]

  # 2️⃣ Logic (Hermes) [8-20]
  - sources:
      - model: meta-llama/Meta-Llama-3.1-8B-Instruct
        layer_range: [8, 20]
        parameters:
          weight: 0.6
          density: 0.2
      - model: NousResearch/Hermes-3-Llama-3.1-8B
        layer_range: [8, 20]
        parameters:
          weight: 0.4
          density: 0.3       # Keep Logic sparse (sharp)

  # 3️⃣ Knowledge (Aloe) [20-28]
  - sources:
      - model: meta-llama/Meta-Llama-3.1-8B-Instruct
        layer_range: [20, 28]
        parameters:
          weight: 0.55
          density: 0.2
      - model: HPAI-BSC/Llama3.1-Aloe-Beta-8B
        layer_range: [20, 28]
        parameters:
          weight: 0.45       # High influence
          density: 0.4       # <--- The Safe Maximum for Knowledge

  # 4️⃣ Output [28-32]
  - sources:
      - model: meta-llama/Meta-Llama-3.1-8B-Instruct
        layer_range: [28, 32]