Resolving Interference When Merging Models
Paper
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2306.01708
•
Published
•
15
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using Theros/Qwen2.5-ColdBrew-R1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
name: Qwen2.5-ColdBrew
models:
- model: Theros/Qwen2.5-ColdBrew-R1
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: SvalTek/Qwen2.5-ColdBrew-Erratik
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
merge_method: ties
base_model: Theros/Qwen2.5-ColdBrew-R1
parameters:
normalize: true
int8_mask: true
dtype: float16