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 Nitral-AI/Wayfarer_Eris_Noctis-12B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/mistral-nemo-gutenberg3-12B
parameters:
density: 0.4
weight: 0.5
- model: DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
parameters:
density: 0.4
weight: 0.3
- model: TheDrummer/Rocinante-12B-v1.1
parameters:
density: 0.3
weight: 0.5
merge_method: ties
base_model: Nitral-AI/Wayfarer_Eris_Noctis-12B
parameters:
normalize: true # Normalizza i pesi
int8_mask: true
dtype: float16