Kaoeiri/Qwenwify-32B-v4

merge

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using Qwen/QwQ-32B-Preview as a base.

Models Merged

The following models were included in the merge:

• Sao10K/32B-Qwen2.5-Kunou-v1
• jpacifico/Chocolatine-32B-Instruct-DPO-v1.2
• nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
• ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
• AXCXEPT/EZO-Qwen2.5-32B-Instruct
• huihui-ai/QwQ-32B-Preview-abliterated
• gctian/qwen2.5-32B-roleplay-zh
• crestf411/Q2.5-32B-Slush
• AiCloser/Qwen2.5-32B-AGI
• EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      weight: 1.00
      density: 0.92
  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
    parameters:
      weight: 0.45
      density: 0.88
  - model: crestf411/Q2.5-32B-Slush
    parameters:
      weight: 0.40
      density: 0.86
  - model: gctian/qwen2.5-32B-roleplay-zh
    parameters:
      weight: 0.32
      density: 0.84
  - model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
    parameters:
      weight: 0.30
      density: 0.83
  - model: jpacifico/Chocolatine-32B-Instruct-DPO-v1.2
    parameters:
      weight: 0.28
      density: 0.82
  - model: AXCXEPT/EZO-Qwen2.5-32B-Instruct
    parameters:
      weight: 0.25
      density: 0.81
  - model: AiCloser/Qwen2.5-32B-AGI
    parameters:
      weight: 0.22
      density: 0.80
  - model: huihui-ai/QwQ-32B-Preview-abliterated
    parameters:
      weight: 0.20
      density: 0.79
  - model: Sao10K/32B-Qwen2.5-Kunou-v1 # Thank you, Sao! and Everyone!
    parameters:
      weight: 0.18
      density: 0.78

merge_method: dare_ties
base_model: Qwen/QwQ-32B-Preview
parameters:
  density: 0.875
  epsilon: 0.07
  lambda: 1.35
dtype: bfloat16
random_seed: 42
tokenizer_source: union