sean_test_merge_out
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using mllm-dev/gpt2_f_experiment_0 as a base.
Models Merged
The following models were included in the merge:
- mllm-dev/gpt2_f_experiment_7
- mllm-dev/gpt2_f_experiment_1
- mllm-dev/gpt2_f_experiment_8
- mllm-dev/gpt2_f_experiment_2
- mllm-dev/gpt2_f_experiment_4
- mllm-dev/gpt2_f_experiment_5
- mllm-dev/gpt2_f_experiment_6
- mllm-dev/gpt2_f_experiment_3
- mllm-dev/gpt2_f_experiment_9
Configuration
The following YAML configuration was used to produce this model:
base_model:
model:
path: mllm-dev/gpt2_f_experiment_0
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
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_1
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_2
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_3
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_4
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_5
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_6
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_7
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_8
parameters:
density: 0.9
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_9
parameters:
density: 0.9
weight: 0.1
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