dpo_roleplay_v2

output

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

Merge Details

Merge Method

This model was merged using the Task Arithmetic merge method using AlexCuadron/chai-ddpo as a base.

Models Merged

The following models were included in the merge:

• Nitral-AI/Community_Request-02-12B

Configuration

The following YAML configuration was used to produce this model:

# MergeKit Configuration for merging alignment-DPO with roleplay capabilities
merge_method: task_arithmetic

# Define the base model (your alignment model)
base_model:
  model: AlexCuadron/chai-ddpo  # Path to your DPO-trained alignment model
  # If your model is in Hugging Face format, you could use:
  model_type: huggingface
  # If it's a local model, just use the path:
  # model: /path/to/alex_dpo

# Models to merge with the base model
models:
  - model: Nitral-AI/Community_Request-02-12B
    # Modify if needed:
    model_type: huggingface
    parameters:
      weight: 0.75  # Adjust between 0.2-0.4 based on how much roleplay vs alignment you want

# Output settings
dtype: bfloat16  # Or bfloat16 if your GPU supports it
output_dir: ./aligned_roleplay_model
# Optional: include parameters you want to skip or include specifically
# parameters_settings:
#   include: [".*"] # Include all parameters, or specify patterns to include
#   exclude: [] # No exclusions, or specify patterns to exclude

# Add this if you want to save disk space
output_optimizations:
  safetensors: true  # Save in safetensors format (more secure and efficient)
  # set to false if you want to keep intermediate models
  skip_saving_intermediate_models: true