Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper โข 2311.03099 โข Published โข 36
How to use ldhldh/merged-qwen-omni-dare-3 with Transformers:
# Load model directly
from transformers import AutoProcessor, AutoModel
processor = AutoProcessor.from_pretrained("ldhldh/merged-qwen-omni-dare-3")
model = AutoModel.from_pretrained("ldhldh/merged-qwen-omni-dare-3", device_map="auto")This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using Qwen/Qwen2.5-Omni-7B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
# mergekit ์ค์ ํ์ผ: Qwen/Qwen3-8B ์ Qwen/Qwen2.5-Omni-7B ๋ฅผ DARE_TIES ๋ฐฉ์์ผ๋ก ๋ณํฉ
# ํฉ์น ๋ชจ๋ธ ๋ชฉ๋ก
models:
- model: Qwen/Qwen2-7B
parameters:
weight: 1.0
density: 1.0
- model: Qwen/Qwen2.5-Omni-7B
parameters:
weight: 1.0
density: 1.0
merge_method: dare_ties
base_model: Qwen/Qwen2.5-Omni-7B # ๋๋ Qwen/Qwen3-8B
parameters:
density: 0.5 # ์ด ๊ฐ์ ์กฐ์ ํ๋ฉฐ ์คํํ์ธ์ (์: 0.2, 0.7 ๋ฑ)
normalize: false
int8_mask: true
dtype: bfloat16