DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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2406.11617
•
Published
•
9
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Linear DELLA merge method using Nohobby/MS3-test-Merge-1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4
parameters:
weight: 0.2
density: 0.7
- model: trashpanda-org/Llama3-24B-Mullein-v1
parameters:
weight: 0.2
density: 0.7
- model: TheDrummer/Cydonia-24B-v2
parameters:
weight: 0.2
density: 0.7
merge_method: della_linear
base_model: Nohobby/MS3-test-Merge-1
parameters:
epsilon: 0.2
lambda: 1.1
dtype: bfloat16
tokenizer:
source: base