models: - model: CultriX/Qwen2.5-14B-Wernicke parameters: weight: 0.318 # Strong performance in GPQA, MMLU-PRO density: 0.6 # Retain 60% of significant parameters - model: arcee-ai/Virtuoso-Small parameters: weight: 0.273 # Exceptional IFEval and MATH Level 5 capabilities density: 0.6 # Retain 60% of significant parameters - model: CultriX/SeQwence-14B-EvolMerge parameters: weight: 0.182 # MUSR and balanced contributions to Truthful QA and MMLU density: 0.5 # Retain 50% of significant parameters - model: CultriX/SeQwence-14Bv1 parameters: weight: 0.136 # Provides diverse data and generalization density: 0.4 # Retain 40% of significant parameters - model: v000000/Qwen2.5-Lumen-14B parameters: weight: 0.091 # Enhances creative and narrative tasks density: 0.5 # Retain 50% for task diversity base_model: Qwen/Qwen2.5-14B-Instruct merge_method: task_arithmetic parameters: normalize: true # Ensures parameter scaling compatibility int8_mask: true # Optimizes memory and computational efficiency dtype: bfloat16 tokenizer_source: Qwen/Qwen2.5-14B-Instruct