Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper
• 2203.05482 • Published
• 8
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: Zachary1150/math_len_1.5B
parameters:
weight: 0.5
- model: Zachary1150/math_acc_1.5B
parameters:
weight: 0.5
merge_method: linear
parameters:
normalize: true
dtype: bfloat16