Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 8
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:
merge_method: linear
parameters:
weight: 1.0
slices:
- sources:
- model: deepseek-ai/deepseek-math-7b-rl
layer_range: [1, 10]
- sources:
- model: deepseek-ai/deepseek-math-7b-rl
layer_range: [5, 15]
- sources:
- model: deepseek-ai/deepseek-math-7b-rl
layer_range: [10, 20]
- sources:
- model: deepseek-ai/deepseek-math-7b-rl
layer_range: [15, 25]
- sources:
- model: deepseek-ai/deepseek-math-7b-rl
layer_range: [20, 30]
dtype: float16