base_model: meta-llama/Meta-Llama-3-8B

models:
  - model: meta-llama/Meta-Llama-3-8B  # Base model (retain strong foundational performance)
    parameters:
      weight: 1.0
  - model: ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1  # High-quality Turkish instruction tuning
    parameters:
      weight: 0.7  # Increased weight for better instruction following
  - model: ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1  # DPO-tuned for Turkish preferences
    parameters:
      weight: 0.5  # Balanced for alignment

# LoRA Adapters (focused on Turkish language/culture)
adapters:
  - model: Yudum/llama3-lora-turkish  # Core Turkish fine-tuning
    parameters:
      weight: 0.8  # Highest priority (language fundamentals)
  - model: Yudum/Meta-Llama-3-8B-Instruct_tr_wiki_tr_wiki_mix  # Turkish Wikipedia knowledge
    parameters:
      weight: 0.6  # Boost cultural/encyclopedic knowledge
  - model: Kasimyildirim/Qwen2-turkish-comnibed-v5-lora  # Additional Turkish data mix
    parameters:
      weight: 0.4  # Complementary reinforcement

merge_method: ties
parameters:
  density: 0.5  # Slightly lower density to reduce noise
  weight: 0.9   # Stronger weight retention for Turkish features
  normalize: true
dtype: bfloat16