Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper
• 2311.03099 • Published
• 30
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using Qwen/Qwen2.5-7B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: Qwen/Qwen2.5-7B-Instruct
dtype: float16
merge_method: dare_ties
modules:
default:
slices:
- sources:
- layer_range: [0, 28]
model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
parameters:
density: 0.8773638560987191
weight: 1.0832441422096908
- layer_range: [0, 28]
model: gz987/qwen2.5-7b-cabs-v0.3
parameters:
density: 0.8773638560987191
weight: 1.0832441422096908
- layer_range: [0, 28]
model: Qwen/Qwen2.5-7B-Instruct
parameters:
normalize: 0.0