DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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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 LatitudeGames/Wayfarer-Large-70B-Llama-3.3 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/Llama-3.3-70B-Vulpecula-r1
parameters:
weight: 0.25
density: 0.5
epsilon: 0.05
lambda: 1.0
- model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
parameters:
weight: 0.25
density: 0.5
epsilon: 0.05
lambda: 1.0
- model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
parameters:
weight: 0.25
density: 0.5
epsilon: 0.05
lambda: 1.0
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.25
density: 0.5
epsilon: 0.05
lambda: 1.0
merge_method: della
base_model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
chat_template: llama3
tokenizer:
source: union