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 TareksLab/L3.3-TRP-BASE-80-70B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
parameters:
weight: 0.12
density: 0.7
- model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
parameters:
weight: 0.12
density: 0.7
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
parameters:
weight: 0.12
density: 0.7
- model: TheDrummer/Anubis-70B-v1
parameters:
weight: 0.12
density: 0.7
- model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
parameters:
weight: 0.13
density: 0.7
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.13
density: 0.7
- model: Sao10K/70B-L3.3-mhnnn-x1
parameters:
weight: 0.13
density: 0.7
- model: TareksLab/L3.3-TRP-BASE-80-70B
parameters:
weight: 0.13
density: 0.7
merge_method: della_linear
base_model: TareksLab/L3.3-TRP-BASE-80-70B
parameters:
epsilon: 0.2
lambda: 1.1
normalize: false
int8_mask: true
dtype: bfloat16
chat_template: llama3
tokenizer:
source: base