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models:
- model: qingy2019/Qwen2.5-Math-14B-Instruct
parameters:
weight: 0.35 # Strong performance in GPQA, MUSR, and MMLU-PRO
density: 0.6 # Retain 60% of significant parameters
- model: arcee-ai/Virtuoso-Small
parameters:
weight: 0.30 # Exceptional IFEval and MATH Level 5 capabilities
density: 0.6 # Retain 60% of significant parameters
- model: CultriX/Qwen2.5-14B-MegaMerge-pt2
parameters:
weight: 0.20 # Balanced contributions to Truthful QA and MMLU
density: 0.5 # Retain 50% of significant parameters
- model: CultriX/SeQwence-14B
parameters:
weight: 0.15 # Provides diverse data and generalization
density: 0.4 # Retain 40% of significant parameters
- model: v000000/Qwen2.5-Lumen-14B
parameters:
weight: 0.10 # Enhances creative and narrative tasks
density: 0.5 # Retain 50% for task diversity
base_model: Qwen/Qwen2.5-14B
merge_method: dare_ties
parameters:
normalize: true # Ensures parameter scaling compatibility
int8_mask: true # Optimizes memory and computational efficiency
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct
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