Maginum-Cydoms-24B

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

Merge Details

Merge Methods

This model was merged using the following merge methods:

• TIES
• DELLA
• SLERP

Models Merged

The following models were included in the merge:

• anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
• TheDrummer/Magidonia-24B-v4.3
• TheDrummer/Precog-24B-v1
• zerofata/MS3.2-PaintedFantasy-v3-24B
• TheDrummer/Cydonia-24B-v4.3
• ReadyArt/4.2.0-Broken-Tutu-24b
• zerofata/MS3.2-PaintedFantasy-v2-24B

Configuration

The following YAML configurations were used to produce this model:

Maginum-Cydoms-S001:

models:
  - model: anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only

  - model: TheDrummer/Magidonia-24B-v4.3
    parameters:
      density: 1.0
      weight: 1.0
  - model: TheDrummer/Precog-24B-v1
    parameters:
      density: 0.4
      weight: 0.6
  - model: zerofata/MS3.2-PaintedFantasy-v3-24B
    parameters:
      density: 0.4
      weight: 0.4

merge_method: ties
base_model: anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
parameters:
  normalize: false
  int8_mask: false
dtype: float32

tokenizer:
  source: union

Maginum-Cydoms-S002:

models:
  - model: anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only

  - model: TheDrummer/Cydonia-24B-v4.3
    parameters:
      density: 1.0
      weight: 1.0
      epsilon: 0.0
  - model: ReadyArt/4.2.0-Broken-Tutu-24b
    parameters:
      density: 0.4
      weight: 0.6
      epsilon: 0.2
  - model: zerofata/MS3.2-PaintedFantasy-v2-24B
    parameters:
      density: 0.4
      weight: 0.4
      epsilon: 0.2

merge_method: della
base_model: anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
parameters:
  normalize: false
  int8_mask: false
dtype: float32

tokenizer:
  source: union

models:
  - model: Maginum-Cydoms-S001
  - model: Maginum-Cydoms-S002

merge_method: slerp
base_model: Maginum-Cydoms-S001
parameters:
  t:
    - filter: self_attn
      value: [0.3, 0.4, 0.6, 0.4, 0.3, 0.4, 0.6, 0.4, 0.3]
    - filter: mlp
      value: [0.7, 0.6, 0.4, 0.6, 0.7, 0.6, 0.4, 0.6, 0.7]
    - value: 0.5
dtype: float32
out_dtype: bfloat16

tokenizer:
  source: union