Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 8
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: paraschopra/llama-31-8b-base-all-24k-correct
parameters:
weight: 0.1
- model: meta-llama/meta-llama-3.1-8b-instruct
parameters:
weight: 0.9
merge_method: linear
tokenizer_source: meta-llama/meta-llama-3.1-8b-instruct
dtype: bfloat16
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Model tree for paraschopra/llama-31-8b-base-all-24k-correct_MERGED_LINEAR
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct Finetuned
unsloth/Meta-Llama-3.1-8B-Instruct