metadata
base_model:
- mllm-dev/gpt2_f_experiment_0_drug_data
- mllm-dev/gpt2_f_experiment_3_drug_data
- mllm-dev/gpt2_f_experiment_4_drug_data
- mllm-dev/gpt2_f_experiment_2_drug_data
- mllm-dev/gpt2_f_experiment_1_drug_data
library_name: transformers
tags:
- mergekit
- merge
tam_test_merge_out_drug_data_dare_ties
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_drug_data as a base.
Models Merged
The following models were included in the merge:
- mllm-dev/gpt2_f_experiment_3_drug_data
- mllm-dev/gpt2_f_experiment_4_drug_data
- mllm-dev/gpt2_f_experiment_2_drug_data
- mllm-dev/gpt2_f_experiment_1_drug_data
Configuration
The following YAML configuration was used to produce this model:
base_model:
model:
path: mllm-dev/gpt2_f_experiment_0_drug_data
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_drug_data
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_1_drug_data
parameters:
density: 0.9
weight: 0.2
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_2_drug_data
parameters:
density: 0.9
weight: 0.2
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_3_drug_data
parameters:
density: 0.9
weight: 0.2
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_4_drug_data
parameters:
density: 0.9
weight: 0.2