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
models:
- model: DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1
parameters:
weight: 0.5
- model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
weight: 0.5
parameters: {}
dtype: bfloat16
tokenizer:
source: union
write_readme: README.md