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: PAIXAI/Astrid-7B-LLama-Med
parameters:
weight: 0.5
- model: cxllin/Llama2-7b-Finance
parameters:
weight: 0.5
merge_method: linear
dtype: float16