merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using anthracite-org/magnum-v4-22b as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: anthracite-org/magnum-v4-22b
parameters:
weight: 1.0 # Magnum model to retain style and best writing
- model: TheDrummer/Cydonia-22B-v1.3
parameters:
weight: 0.4 # Cydonia v1.3 for creative/adventurous influence
density: 0.9 # Retain more creative influence, but balance it
- model: TheDrummer/Cydonia-22B-v1.2
parameters:
weight: 0.3 # Cydonia v1.2 to add more creativity
density: 0.85 # Slightly less density for extra creativity
- model: TheDrummer/Cydonia-22B-v1.1
parameters:
weight: 0.4 # Cydonia v1.1 for accuracy and evil/trolling thoughts
density: 0.86 # Higher density for accuracy retention
merge_method: dare_ties # Using dare_ties for better handling of interference
base_model: anthracite-org/magnum-v4-22b
parameters:
density: 0.9 # General density for the overall merge
epsilon: 0.1 # Maximum change in drop probabilities
lambda: 1.2 # Scaling factor for final merged deltas
dtype: bfloat16
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