Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper
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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 google/gemma-2-9b as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: google/gemma-2-9b
# No parameters necessary for base model
- model: testmoto/gemma-2-9b-platypus-02
parameters:
density: 0.53
weight: 0.5
- model: testmoto/gemma-2-9b-synthetic_coding
parameters:
density: 0.53
weight: 0.5
merge_method: dare_ties
base_model: google/gemma-2-9b
parameters:
int8_mask: true
dtype: bfloat16