Resolving Interference When Merging Models
Paper
• 2306.01708 • Published
• 17
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using sam-paech/Delirium-v1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
parameters:
density: 0.53
weight: 0.3 # Influenza più contenuta
- model: sam-paech/Quill-v1
parameters:
density: 0.53
weight: 0.6 # Aggiungiamo un piccolo contributo per Quill
merge_method: ties
base_model: sam-paech/Delirium-v1 # Passiamo Delirium come base
parameters:
normalize: false
int8_mask: true
dtype: float16