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merge_method: della_linear
base_model: Sakalti/ultiima-78B
dtype: float16
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: 1.9 # Complex reasoning.
MATH: 2.3 # Mathematical reasoning.
GPQA: 2.2 # Factual QA.
MUSR: 2.0 # Multi-step reasoning.
MMLU-PRO: 2.2 # Domain multitask performance.
smoothing_factor: 0.1 # Smooth blending across benchmarks.
models:
- model: MaziyarPanahi/calme-2.4-rys-78B
parameters:
weight: 1
density: 1
- model: Sakalti/ultiima-78B
parameters:
weight: 1
density: 1 |