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 Qwen3/4B/full/apollo_mini_writing/checkpoint-33758 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: hardlyworking/Sugma4B
parameters:
density: 0.7
weight: 0.3
epsilon: 0.25
- model: GreenerPastures/Basically-Human-4B
parameters:
density: 0.7
weight: 0.4
epsilon: 0.25
- model: Hastagaras/Qibil-4B-v0.1-RP
parameters:
density: 0.7
weight: 0.3
epsilon: 0.25
merge_method: della
base_model: Qwen3/4B/full/apollo_mini_writing/checkpoint-33758
dtype: bfloat16
parameters:
normalize: false
int8_mask: false
lambda: 1.05