Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper
•
2203.05482
•
Published
•
7
This is a merge of pre-trained language models created using mergekit.
This model was merged using the linear merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: cxllin/StableHermes-3b
parameters:
weight: 1.0
- model: jondurbin/airoboros-3b-3p0
parameters:
weight: 1.0
- model: jeiku/Rosa_v1_3B
parameters:
weight: 1.0
merge_method: linear
dtype: float16