DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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2406.11617
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Published
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8
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Linear DELLA merge method using nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v2
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
- model: Sao10K/L3.3-70B-Euryale-v2.3
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
- model: Sao10K/Llama-3.3-70B-Vulpecula-r1
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
merge_method: della_linear
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
lambda: 1.1
normalize: true
dtype: bfloat16
chat_template: llama3
tokenizer:
source: base
pad_to_multiple_of: 8