Resolving Interference When Merging Models
Paper
•
2306.01708
•
Published
•
15
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using rinna/japanese-gpt-neox-3.6b as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: rinna/bilingual-gpt-neox-4b
parameters:
weight: 1
density: 1
merge_method: ties
base_model: rinna/japanese-gpt-neox-3.6b
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: float16