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Merged on a local 512GB memory AMD EPYC 7773X server.

NQLSG-Qwen2.5-14B-MegaFusion

View the complete mergekit-multi configuration file: nqlsg-14b.yaml

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 /root/LLM/NQLSG-Qwen2.5-14B-Base5 as a base.

Models Merged

The following models were included in the merge:

/root/LLM/NQLSG-Qwen2.5-14B-Base1
/root/LLM/NQLSG-Qwen2.5-14B-Base2
/root/LLM/NQLSG-Qwen2.5-14B-Base4
/root/LLM/NQLSG-Qwen2.5-14B-Base6
/root/LLM/NQLSG-Qwen2.5-14B-Base3

Configuration

The following YAML configuration was used to produce this model:

base_model: /root/LLM/NQLSG-Qwen2.5-14B-Base5
chat_template: auto
dtype: bfloat16
merge_method: sce
parameters:
  int8_mask: 1.0
slices:
- sources:
  - layer_range: [0, 48]
    model: /root/LLM/NQLSG-Qwen2.5-14B-Base1
  - layer_range: [0, 48]
    model: /root/LLM/NQLSG-Qwen2.5-14B-Base2
  - layer_range: [0, 48]
    model: /root/LLM/NQLSG-Qwen2.5-14B-Base3
  - layer_range: [0, 48]
    model: /root/LLM/NQLSG-Qwen2.5-14B-Base4
  - layer_range: [0, 48]
    model: /root/LLM/NQLSG-Qwen2.5-14B-Base5
  - layer_range: [0, 48]
    model: /root/LLM/NQLSG-Qwen2.5-14B-Base6
tokenizer: {}