merge_method: della_linear
base_model: Qwen/Qwen2.5-7B-Instruct
dtype: bfloat16
parameters:
  epsilon: 0.015            # Fine-grain scaling for precision.
  lambda: 1.6               # Strong emphasis on top-performing models.
  normalize: true           # Stable parameter integration across models.
adaptive_merge_parameters:
  task_weights:
    tinyArc: 1.75           # Logical reasoning.
    tinyHellaswag: 1.65     # Contextual predictions.
    tinyMMLU: 1.8           # Domain knowledge.
    tinyTruthfulQA: 2.0     # Prioritize truthful reasoning.
    tinyTruthfulQA_mc1: 1.85
    tinyWinogrande: 1.9     # Advanced reasoning and predictions.
    IFEval: 2.1             # Instruction-following and multitasking.
    BBH: 2.25                # Complex reasoning.
    MATH: 2.4               # Mathematical reasoning.
    GPQA: 2.35             # Factual QA.
    MUSR: 2.3             # Multi-step reasoning.
    MMLU-PRO: 2.35       # Domain multitask performance.
  smoothing_factor: 0.05     # TURN UP THE SMOOTH!
models:
  - model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      weight: 0.65
      density: 0.65
  - model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3
    parameters:
      weight: 0.1
      density: 0.1
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
    parameters:
      weight: 0.15
      density: 0.15
  - model: fblgit/cybertron-v4-qw7B-MGS
    parameters:
      weight: 0.05
      density: 0.05
  - model: FreedomIntelligence/HuatuoGPT-o1-7B
    parameters:
      weight: 0.05
      density: 0.05