Downloads · 30 days
12
31% of all-time downloads
mllm-dev/gpt2_m_experiment_dare_linear
gpt2_m_experiment_dare_linear is a text classification model from mllm-dev. Use it when you need a label for a piece of text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
Downloads · 30 days
12
31% of all-time downloads
All-time downloads
39
Public
Parameters
124M
249 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors249 MB · 99%
From the Hugging Face model README
This is a merge of pre-trained language models created using mergekit.
This model was merged using the linear DARE merge method using mllm-dev/gpt2_f_experiment_0 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
dtype: float16
merge_method: dare_linear
parameters:
normalize: 1.0
slices:
- sources:
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_0
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_1
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_2
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_3
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_4
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_5
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_6
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_7
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_8
parameters:
weight: 0.1
- layer_range: [0, 12]
model:
model:
path: mllm-dev/gpt2_f_experiment_9
parameters:
weight: 0.1