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: Jiayi-Pan/Tiny-Vicuna-1B
parameters:
weight: 0.2
- model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
parameters:
weight: 0.2
- model: yihanwang617/tinyllama-sft-vicuna-random-100k
parameters:
weight: 0.2
- model: NickyNicky/cognitivecomputations_TinyDolphin-2.8-1.1b
parameters:
weight: 0.2
- model: QuixiAI/TinyDolphin-2.8.2-1.1b
parameters:
weight: 0.2
merge_method: linear
dtype: float32