DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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2406.11617
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Published
•
9
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DELLA merge method using open-r1/OpenR1-Qwen-7B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: open-r1/OpenR1-Qwen-7B
#no parameters necessary for base model
- model: Open-Reasoner-Zero/Open-Reasoner-Zero-7B
parameters:
density: 0.5
weight: 0.5
- model: open-thoughts/OpenThinker-7B
parameters:
density: 0.5
weight: 0.5
merge_method: della
base_model: open-r1/OpenR1-Qwen-7B
parameters:
normalize: false
int8_mask: true
dtype: bfloat16