Resolving Interference When Merging Models
Paper
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2306.01708
•
Published
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16
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using Qwen/Qwen2.5-3B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-3B-Instruct+bunnycore/Qwen-2.5-3b-Rp-lora_model
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Qwen-2.5-3b-Evol-CoT+bunnycore/Qwen-2.5-3b-Rp-lora_model
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Qwen/Qwen2.5-3B
parameters:
normalize: false
int8_mask: true
dtype: float16