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.
This model was merged using the DARE TIES merge method using LatitudeGames/Wayfarer-2-12B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: LatitudeGames/Wayfarer-2-12B
dtype: bfloat16
merge_method: dare_ties
modules:
default:
slices:
- sources:
- layer_range: [0, 40]
model: LatitudeGames/Wayfarer-2-12B
- layer_range: [0, 40]
model: LatitudeGames/Muse-12B+jtatman/mistral_nemo_12b_reasoning_psychology_lora
parameters:
density: 0.9
weight: 1.0
- layer_range: [0, 40]
model: aixonlab/Zinakha-12b
parameters:
density: 0.7
weight: 0.6
- layer_range: [0, 40]
model: inflatebot/MN-12B-Mag-Mell-R1
parameters:
density: 0.7
weight: 0.6
parameters:
normalize: 1.0
tokenizer: {}