Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 8
merged
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:
dtype: float16
merge_method: linear
slices:
- sources:
- layer_range: [0, 80]
model: meta-llama/Meta-Llama-3-70B
parameters:
weight: 1.0
- layer_range: [0, 80]
model: meta-llama/Meta-Llama-3-70B
parameters:
weight: 0.3
- layer_range: [0, 80]
model: meta-llama/Meta-Llama-3-70B
parameters:
weight: 0.5
- Downloads last month
- 2
Model tree for tklohj/70b2_merged_windyLLM
Base model
meta-llama/Meta-Llama-3-70B