models:
  - model: cognitivecomputations/Dolphin3.0-R1-Mistral-24B
    parameters:
      density: 0.4
      weight: 0.6
  - model: baconnier/Napoleon_24B_V0.0
    parameters:
      density: 0.4
      weight: 0.4

merge_method: dare_ties
base_model: cognitivecomputations/Dolphin3.0-R1-Mistral-24B

parameters:
  int8_mask: true
  normalize: true

# CORRECTED: dtype must be top-level, not under parameters
dtype: bfloat16  # Valid options: float16|bfloat16|float32

tokenizer_source: cognitivecomputations/Dolphin3.0-R1-Mistral-24B

baconnier/Napoleon_24B_R1_V0.0

merge

Merge Details

Merge Method

Models Merged

Configuration

baconnier/
Napoleon_24B_R1_V0.0