merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using win10/Mistral-Nemo-abliterated-Nemo-Pro-v2 as a base.

Models Merged

The following models were included in the merge:

• PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
• Sao10K/MN-BackyardAI-Party-12B-v1
• IlyaGusev/saiga_nemo_12b

Configuration

The following YAML configuration was used to produce this model:

models:      
  - model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
    parameters:
      density: 1
      weight: 1

  - model: Sao10K/MN-BackyardAI-Party-12B-v1
    parameters:
      density: 1
      weight: 1

  - model: IlyaGusev/saiga_nemo_12b
    parameters:
      density: 1
      weight: 1    

merge_method: ties
base_model: win10/Mistral-Nemo-abliterated-Nemo-Pro-v2
  
dtype: float32
chat_template: chatml
# Regularization
regularization:
  - method: gradient_penalty
    scale: 0.05  # Increased influence for gradient control
  - method: weight_clipping
    clip_range: [-0.2, 0.2]  # Broader clipping range for flexibility
  - method: random_noise
    scale: 0.01  # Stronger noise injection
  - method: attention_dropout
    scale: 0.1  # Higher dropout to reduce attention fixation

# Postprocessing
postprocessing:
  - operation: entropy_regularization
    scale: 0.05  # Stronger encouragement for diverse outputs
  - operation: non_linear_scaling
    parameters:
      function: tanh
  - operation: sharpening
    intensity: 0.5  # Enhanced sharpening for precise outputs
  - operation: gaussian_smoothing
    sigma: 1.5  # Increased smoothing for stable outputs
  - operation: normalize
  - operation: dynamic_scaling
    scale_range: [0.8, 1.2]  # Expanded dynamic range for scaling
  - operation: smoothing
    parameters:
      adaptive: true
      range: [0.85, 1.15]  # Wider adaptive smoothing range
      kernel_size: 5