DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper • 2406.11617 • Published • 10
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DELLA merge method using ertghiu256/qwen3-1.7b-hermes-3-no-thinking as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: ertghiu256/qwen3-1.7b-hermes-3-no-thinking
dtype: float16
merge_method: della
modules:
default:
slices:
- sources:
- layer_range: [0, 28]
model: ertghiu256/qwen3-1.7b-hermes-3-no-thinking
parameters:
weight: 0.6
- layer_range: [0, 28]
model: ertghiu256/qwen3-1.7b-mixture-of-thought
parameters:
weight: 0.7
- layer_range: [0, 28]
model: ertghiu256/Qwen-3-1.7b-deepseek-r1-0528-distillation
parameters:
weight: 0.8
parameters:
int8_mask: 1.0
normalize: 1.0