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
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: jeiku/Rosa_v1_3B+jeiku/Theory_of_Mind_128_StableLM
parameters:
weight: 0.3
- model: jeiku/Rosa_v1_3B+jeiku/Everything_v3_128_StableLM
parameters:
weight: 0.45
- model: jeiku/Rosa_v1_3B+jeiku/Gnosis_StableLM
parameters:
weight: 1
- model: jeiku/Rosa_v1_3B+jeiku/Toxic_DPO_StableLM
parameters:
weight: 0.5
- model: jeiku/Rosa_v1_3B+jeiku/No_Robots_Alpaca_StableLM
parameters:
weight: 0.5
- model: jeiku/Rosa_v1_3B+jeiku/Theory_of_Mind_RP_128_StableLM
parameters:
weight: 0.35
- model: jeiku/Rosa_v1_3B+jeiku/Humiliation_StableLM
parameters:
weight: 0.25
- model: jeiku/Rosa_v1_3B+jeiku/Bluemoon_cleaned_StableLM
parameters:
weight: 0.4
- model: jeiku/Rosa_v1_3B+jeiku/Erotica_StableLM
parameters:
weight: 0.5
merge_method: linear
dtype: float16
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