DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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2406.11617
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Published
•
8
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Linear DELLA merge method using /workspace/prototype-0.4x229 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: /workspace/cache/models--nbeerbower--Llama3.1-Gutenberg-Doppel-70B/snapshots/f083f3a89b8275e7e5329bb0668ada189f80b507
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/cache/models--ReadyArt--L3.3-The-Omega-Directive-70B-Unslop-v2.0/snapshots/6c0508d98e6818c191fb376c6b59a2b742e8ab50
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/cache/models--Sao10K--70B-L3.3-mhnnn-x1/snapshots/3fe1847bbe0dadf7306f3c4bf738f0547676177d
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/cache/models--Sao10K--Llama-3.3-70B-Vulpecula-r1/snapshots/12d7254ab9a5ce21905f59f341a3d2a2b3e62fd5
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/prototype-0.4x229
parameters:
weight: 0.2
density: 0.7
epsilon: 0.1
lambda: 1.0
base_model: /workspace/prototype-0.4x229
merge_method: della_linear
tokenizer:
source: base
parameters:
normalize: false
pad_to_multiple_of: 8
int8_mask: true
dtype: bfloat16