UwU-Qwen2.5-32B

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 Qwen/Qwen2.5-32B as a base.

Models Merged

The following models were included in the merge:

• huihui-ai/QwQ-32B-abliterated
• nbeerbower/Dumpling-Qwen2.5-32B
• rinna/qwq-bakeneko-32b
• trashpanda-org/QwQ-32B-Snowdrop-v0
• nbeerbower/Shiina-Qwen2.5-32B
• nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: nbeerbower/QwQ-R1-abliterated-TIES-Qwen2.5-32B
    parameters:
      weight: 1
      density: 1
  - model: nbeerbower/Dumpling-Qwen2.5-32B
    parameters:
      weight: 1
      density: 1
  - model: nbeerbower/Shiina-Qwen2.5-32B
    parameters:
      weight: 1
      density: 1
  - model: rinna/qwq-bakeneko-32b
    parameters:
      weight: 1
      density: 1
  - model: trashpanda-org/QwQ-32B-Snowdrop-v0
    parameters:
      weight: 1
      density: 1
  - model: huihui-ai/QwQ-32B-abliterated
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-32B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer:
   source: Qwen/QwQ-32B