NQLSG-Qwen2.5-14B-MegaFusion-v6

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

Merge Details

Merge Method

This model was merged using the SCE merge method using NQLSG-Qwen2.5-14B-Base2 as a base.

Models Merged

The following models were included in the merge:

• NQLSG-Qwen2.5-14B-Base1
• NQLSG-Qwen2.5-14B-Base2
• NQLSG-Qwen2.5-14B-Base3
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3-alpaca_gpt4_zh
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4-reasoning
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5-reasoning
• Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5-roleplay

Configuration

The following YAML configuration was used to produce this model:

base_model: NQLSG-Qwen2.5-14B-Base2
chat_template: auto
dtype: bfloat16
merge_method: sce
parameters:
  int8_mask: 1.0
slices:
- sources:
  - layer_range: [0, 48]
    model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3
  - layer_range: [0, 48]
    model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3-alpaca_gpt4_zh
  - layer_range: [0, 48]
    model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4
  - layer_range: [0, 48]
    model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v4-reasoning
  - layer_range: [0, 48]
    model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
  - layer_range: [0, 48]
    model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5-reasoning
  - layer_range: [0, 48]
    model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5-roleplay
  - layer_range: [0, 48]
    model: NQLSG-Qwen2.5-14B-Base1
  - layer_range: [0, 48]
    model: NQLSG-Qwen2.5-14B-Base2
  - layer_range: [0, 48]
    model: NQLSG-Qwen2.5-14B-Base3
tokenizer: {}