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: Jebadiah/Aria-7b-128k-v4
parameters:
weight: 6.6
- model: cognitivecomputations/dolphin-2.9-llama3-8b-1m
parameters:
weight: 0.06
merge_method: linear
dtype: float16