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: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
parameters:
weight: 0.5
- model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
parameters:
weight: 0.5
merge_method: linear
dtype: bfloat16
tokenizer_source: inflatebot/MN-12B-Mag-Mell-R1