Resolving Interference When Merging Models
Paper
•
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 flammenai/flammen15-gutenberg-DPO-v1-7B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Nitral-AI/Visual-LaylelemonMaidRP-7B
parameters:
density: 0.5
weight: 0.8
- model: flammenai/flammen15-gutenberg-DPO-v1-7B
parameters:
density: 0.5
weight: 1.02272727255
- model: Eric111/CatunaLaserPi
parameters:
density: 0.5
weight: 0.875
merge_method: ties
base_model: flammenai/flammen15-gutenberg-DPO-v1-7B
parameters:
normalize: true
int8_mask: true
dtype: bfloat16