merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: CultriX/Qwen2.5-14B-Wernickev3
- model: CultriX/Qwen2.5-14B-Wernickev5
merge_method: slerp
base_model: CultriX/Qwen2.5-14B-Wernickev3
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0]
dtype: bfloat16
adaptive_merge_parameters:
task_weights:
tinyArc: 1.2 # Emphasize Arc's logical and reasoning tasks
tinyHellaswag: 1.1 # Maintain strong performance in contextual predictions
tinyMMLU: 1.2 # Ensure domain knowledge is well-preserved
tinyTruthfulQA: 1.3 # Leverage v3's top TruthfulQA score
tinyTruthfulQA_mc1: 1.1 # Balance for both models' performance
tinyWinogrande: 1.2 # Enhance contextual understanding
smoothing_factor: 0.2 # Moderate blending for stable integration
gradient_clipping: 1.0 # Prevent over-contribution from any single model
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