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: /scratch/peeratli/axolotl/outputs-it-cpt4/sealion-v4-gemma-3-27b-CPT-V2_mammoth-vl-IT-hero-run-v1-Mammoth-all-shards-CulturalGroundOE/checkpoint-22586
parameters:
weight: 0.1
- model: aisingapore/Gemma-SEA-LION-v4-27B-IT
parameters:
weight: 0.9
merge_method: linear
dtype: bfloat16
Base model
google/gemma-3-27b-pt