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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