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 mllm-dev/gpt2_f_experiment_0_1000 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model:
model:
path: mllm-dev/gpt2_f_experiment_0_1000
dtype: float16
merge_method: dare_ties
parameters:
normalize: 1.0
slices:
- sources:
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_0_1000
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_1_1000
parameters:
density: 0.8
weight: 0.3
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_2_1000
parameters:
density: 0.6
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_3_1000
parameters:
density: 0.6
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_4_1000
parameters:
density: 0.8
weight: 0.3