Elfrino/PsyMedRose-20B

Creative and coherent, more tests needed...

A SLERP merge of two nice models:

Undi95/PsyMedRP-v1-20B

and

tavtav/Rose-20B

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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:

• Undi95/PsyMedRP-v1-20B
• tavtav/Rose-20B

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: tavtav/Rose-20B
        layer_range: [0, 62]  # Rose-20B has 62 layers
merge_method: slerp  # Or use another method like weight_average if needed
base_model: Undi95/PsyMedRP-v1-20B  # PsyMedRP as the base for reasoning dominance
parameters:
  t:
    - filter: self_attn
      value: [0.3, 0.7, 1, 0.7, 0.4]  # Boost creativity in pattern recognition
    - filter: mlp
      value: [0.2, 0.6, 1, 0.8, 0.5]  # Emphasize creativity in decision-making and connections
    - value: 0.639  # Slight leaning toward PsyMedRP's base characteristics
dtype: bfloat16