Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 8
한국어, 영어 데이터셋으로 학습한 모델입니다.
llm-ko-eval 기준
CarrotAI/OpenCarrot-llama3-8B 대략 0.39)
CarrotAI/OpenCarrot-llama3-Mix-8B (대략 0.22)
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:
아직 평가 전입니다.
The following YAML configuration was used to produce this model:
models:
- model: maywell/Llama-3-Ko-8B-Instruct
parameters:
weight: 1.0
- model: CarrotAI/OpenCarrot-llama3-8B
parameters:
weight: 1.0
merge_method: linear
dtype: float16