Resolving Interference When Merging Models
Paper
•
2306.01708
•
Published
•
16
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES 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:
# Ties
# Each parameter refers to TIES-MERGING Appendix C.4 [https://arxiv.org/abs/2306.01708]
base_model: Qwen/Qwen2.5-1.5B
models:
- model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
density: 0.2
weight: 1.0
- model: Qwen/Qwen2.5-Math-1.5B
parameters:
density: 0.2
weight: 1.0
- model: Qwen/Qwen2.5-Coder-1.5B
parameters:
density: 0.2
weight: 1.0
merge_method: ties
parameters:
normalize: false
lambda: 1.0
dtype: float16
tokenizer:
source: union