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 Linear DELLA merge method using mlabonne/Hermes-3-Llama-3.1-70B-lorablated as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: knifeayumu/Negative-Anubis-70B-v1
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: ReadyArt/The-Omega-Directive-L-70B-v1.0
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: allura-org/Bigger-Body-70b
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
parameters:
weight: 0.25
density: 0.7
epsilon: 0.1
lambda: 1.0
merge_method: della_linear
base_model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
chat_template: llama3
tokenizer:
source: union