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 DELLA merge method using meta-llama/Llama-3.3-70B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Undi95/Sushi-v1.4
parameters:
weight: 0.20
density: 0.7
- model: NeverSleep/Lumimaid-v0.2-70B
parameters:
weight: 0.20
density: 0.7
- model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
parameters:
weight: 0.20
density: 0.7
- model: Sao10K/L3.1-70B-Hanami-x1
parameters:
weight: 0.20
density: 0.7
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.20
density: 0.7
merge_method: della
base_model: meta-llama/Llama-3.3-70B-Instruct
parameters:
epsilon: 0.2
lambda: 1.1
out_dtype: bfloat16
tokenizer:
source: SicariusSicariiStuff/Negative_LLAMA_70B