Qwexit-2.5-14B-2024 / mergekit_config.yml
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name: Merged-14B-Ultimate
merge_method: della_linear
base_model: djuna/Q2.5-Veltha-14B
dtype: bfloat16
parameters:
epsilon: 0.01 # Fine-grained parameter scaling for stable merges
lambda: 1.5 # Emphasizes each model’s unique parameters
normalize: true # Normalizes merges across different scale factors
models:
# 1) Strong average + BBH + conversation
- model: sthenno-com/miscii-14b-1225
parameters:
weight: 0.25
density: 0.70
# 2) CultriX “FinalMerge” synergy
- model: CultriX/Qwen2.5-14B-FinalMerge
parameters:
weight: 0.15
density: 0.65
# 3) CultriX “Wernickev3”—balanced
- model: CultriX/Qwen2.5-14B-Wernickev3
parameters:
weight: 0.15
density: 0.65
# 4) CultriX “Broca”—logic & QA
- model: CultriX/Qwen2.5-14B-Broca
parameters:
weight: 0.10
density: 0.65
# 5) CultriX “SeQwence-14Bv1”—general coverage
- model: CultriX/SeQwence-14Bv1
parameters:
weight: 0.10
density: 0.65
adaptive_merge_parameters:
# Weighted emphasis on sub-benchmarks
task_weights:
IFEval: 1.9
BBH: 1.8
MATH: 1.8
GPQA: 1.7
MUSR: 1.7
MMLU-PRO: 1.7
smoothing_factor: 0.1
gradient_clipping: 1.0 # Prevents over-contribution from any one model