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:
- TheDrummer/Cydonia-22B-v1.2
- Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
- TheDrummer/Cydonia-22B-v1.3
- TheDrummer/Cydonia-22B-v1.1
Configuration
The following YAML configuration was used to produce this model:
models:
- model: anthracite-org/magnum-v4-22b
parameters:
weight: 1.0 # Magnum model for primary writing style
density: 0.85 # Slightly lower density to allow others to contribute without overpowering
- model: TheDrummer/Cydonia-22B-v1.3
parameters:
weight: 0.35 # Reduced weight for creativity to avoid too much overlap
density: 0.75 # Reduced density for balance in creative influence
- model: TheDrummer/Cydonia-22B-v1.2
parameters:
weight: 0.2 # Lower weight for extra creativity without overwhelming the story
density: 0.7 # Lower density to reduce creative interference
- model: TheDrummer/Cydonia-22B-v1.1
parameters:
weight: 0.3 # Lower weight for accuracy and specific features (evil/trolling)
density: 0.75 # Moderate density for accuracy retention without interference
- model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
parameters:
weight: 0.4 # Increased weight for storytelling focus
density: 0.85 # Moderate density to allow good stories without overpowering other influences
merge_method: dare_ties # Using dare_ties for smoother blending
base_model: anthracite-org/magnum-v4-22b
parameters:
density: 0.85 # General density for better balance between all models
epsilon: 0.1 # Maximum change in drop probabilities
lambda: 1.2 # Scaling factor for final merged deltas
dtype: bfloat16
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