Resolving Interference When Merging Models
Paper • 2306.01708 • Published • 18
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using NousResearch/Meta-Llama-3-8B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
weight: 1
- model: bunnycore/Llama-3.1-8B-TitanFusion-Mix
parameters:
weight: 1
- model: vicgalle/Configurable-Llama-3.1-8B-Instruct
parameters:
weight: 1
- model: bunnycore/Llama-3.1-8B-TitanFusion-Test
parameters:
weight: 1
merge_method: ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
density: 1
normalize: true
int8_mask: true
dtype: bfloat16