base_model, library_name, tags

base_model	library_name	tags
Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8 Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5	transformers	mergekit merge

merge

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5

Configuration

The following YAML configuration was used to produce this model:

base_model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
merge_method: slerp
tokenizer_source: base
dtype: bfloat16
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
  - sources:
    - model:       Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
      layer_range: [0, 24]
    - model:       Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
      layer_range: [0, 24]
  - sources:
    - model:       Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
      layer_range: [24, 48]
    - model:       Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
      layer_range: [24, 48]