Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper
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2203.05482
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Published
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7
merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ToastyPigeon/nemo-base-books-model-stock
parameters:
weight: 0.5
- model: ToastyPigeon/nemo-instruct-books-model-stock
parameters:
weight: 0.5
merge_method: linear
dtype: bfloat16
tokenizer_source: ToastyPigeon/nemo-instruct-books-model-stock
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