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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:

slices:
  - sources:
      - model: Undi95/PsyMedRP-v1-20B
        layer_range: [0, 62]  # PsyMedRP has 62 layers
      - model: Undi95/MXLewd-L2-20B
        layer_range: [0, 62]  # MXLewd has 62 layers
merge_method: slerp  
base_model: Undi95/PsyMedRP-v1-20B  
parameters:
  t:
    - filter: self_attn
      value: [0.7, 0.6, 0.8, 0.9, 1]  # Boost PsyMedRP's role in attention, especially deeper layers
    - filter: mlp
      value: [0.6, 0.7, 0.8, 0.4, 0.5]  # Adjust MLP for more abstraction but also balance
    - value: 0.65  # Favor PsyMedRP overall in the blending
dtype: bfloat16  # Preferred dtype, or adjust to fp16 for performance
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