Thespian-Qwen2.5-72B

After some success with my merging my favorite Llama 3 models, I decided to try my hand on some Qwen 2.5 models I have tried and enjoyed. I never quite got fully onto the Qwen bandwagon as I always preferred LLaMa, but a lot of folks swear by Qwen. In my limited experience with Qwen I have enjoyed these models and merged something decent I think. For this merge I went for an aggressive parameter Della method.

merge

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

Merge Details

Merge Method

This model was merged using the della merge method using zetasepic/Qwen2.5-72B-Instruct-abliterated as a base.

Models Merged

The following models were included in the merge:

• Sao10K/72B-Qwen2.5-Kunou-v1
• EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2
• spow12/ChatWaifu_72B_v2.2
• Steelskull/Q2.5-MS-Mistoria-72b-v2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/72B-Qwen2.5-Kunou-v1
    parameters:
      weight: 0.25
  - model: Steelskull/Q2.5-MS-Mistoria-72b-v2
    parameters:
      weight: 0.25
  - model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2
    parameters:
      weight: 0.25
  - model: spow12/ChatWaifu_72B_v2.2
    parameters:
      weight: 0.25
merge_method: della
base_model: zetasepic/Qwen2.5-72B-Instruct-abliterated
parameters:
  density: 0.7
  epsilon: 0.2
  lambda: 1.1
  window_size: 0.14
  rescale: 1
dtype: bfloat16
tokenizer_source: base