Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper
• 2311.03099 • Published
• 30
This is a merge of pre-trained language models created using mergekit.
Excellent merge for writing texts and narratives Base Set dati Book Gutenberg
This model was merged using the DARE TIES merge method using nbeerbower/gemma2-gutenberg-9B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: dare_ties
models:
- model: nbeerbower/gemma2-gutenberg-9B
parameters:
weight: 0.25
- model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
weight: 0.25
- model: ifable/gemma-2-Ifable-9B
parameters:
weight: 0.25
- model: lemon07r/Gemma-2-Ataraxy-9B
parameters:
weight: 0.25
base_model: nbeerbower/gemma2-gutenberg-9B
parameters:
t: [0, 0.33, 0.67, 1]
dtype: bfloat16