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 Linear DARE merge method using Qwen/Qwen2.5-1.5B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
# DARE + Average Merging
# random seed: 42
# Each parameter refers to DARE [https://arxiv.org/abs/2311.03099]
base_model: Qwen/Qwen2.5-1.5B
models:
- model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
density: 0.1
weight: 1.0
- model: Qwen/Qwen2.5-Math-1.5B
parameters:
density: 0.1
weight: 1.0
- model: Qwen/Qwen2.5-Coder-1.5B
parameters:
density: 0.1
weight: 1.0
merge_method: dare_linear
parameters:
normalize: true
lambda: 1.0
rescale: true
dtype: float16
tokenizer:
source: union