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 Sao10K/Llama-3.3-70B-Vulpecula-r1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: TheDrummer/Anubis-70B-v1
parameters:
weight: 0.30
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
parameters:
weight: 0.30
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: Sao10K/Llama-3.3-70B-Vulpecula-r1
parameters:
weight: 0.35
density: 0.7
epsilon: 0.2
lambda: 1.1
merge_method: della_linear
base_model: Sao10K/Llama-3.3-70B-Vulpecula-r1
parameters:
normalize: false
dtype: bfloat16
chat_template: llama3
tokenizer:
source: base