Resolving Interference When Merging Models
Paper
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2306.01708
•
Published
•
15
The Llama-3.2-3B-All-Mix model is a merged language model that combines the strengths of multiple models using the TIES merge method. This model is designed to provide a balanced performance across various tasks and domains.
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using huihui-ai/Llama-3.2-3B-Instruct-abliterated as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Lyte/Llama-3.2-3B-Overthinker
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Llama-3.2-3B-Pure-RP
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
parameters:
normalize: false
int8_mask: true
dtype: float16