Subspace-Tuning

adapter commonsense-reasoning glue llama llama2-7b llama3-8b lora lora-dash low-rank-adaptation natural-language-generation natural-language-processing natural-language-understanding parameter-efficient-fine-tuning pretrained-models soft-prompt-tuning subject-driven-generation subspace-tuning

Score: 6.2285110035911835

Last synced: about 11 hours ago
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A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

Host: GitHub
URL: https://github.com/Chongjie-Si/Subspace-Tuning
Owner: Chongjie-Si
License: apache-2.0
Created: 2024-07-06T11:44:15.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2026-01-29T12:36:52.000Z (9 days ago)
Last Synced: 2026-01-30T05:06:08.160Z (8 days ago)
Topics: adapter, commonsense-reasoning, glue, llama, llama2-7b, llama3-8b, lora, lora-dash, low-rank-adaptation, natural-language-generation, natural-language-processing, natural-language-understanding, parameter-efficient-fine-tuning, pretrained-models, soft-prompt-tuning, subject-driven-generation, subspace-tuning
Language: Python
Homepage: https://arxiv.org/abs/2407.05417
Size: 53.3 MB
Stars: 168
Watchers: 5
Forks: 9
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE

Owner metadata:

Name: Chongjie Si
Login: Chongjie-Si
Email:
Kind: user
Description:
Website:
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/53979990?u=c6e602509e717f48b8ff087b04ff7a94cda8943a&v=4
Repositories: 1
Last Synced at: 2023-05-17T03:24:29.154Z
Profile URL: https://github.com/Chongjie-Si

GitHub Events

Total

Fork event: 3
Issue comment event: 7
Issues event: 9
Push event: 3
Watch event: 51
Total: 73

Last Year

Fork event: 2
Issues event: 3
Push event: 1
Watch event: 27
Total: 33

Committers metadata

Last synced: 10 days ago

Total Commits: 19
Total Committers: 3
Avg Commits per committer: 6.333
Development Distribution Score (DDS): 0.105

Commits in past year: 2
Committers in past year: 1
Avg Commits per committer in past year: 2.0
Development Distribution Score (DDS) in past year: 0.0

Name	Email	Commits
Chongjie Si	c**i@s**n	17
dependabot[bot]	4****]	1
Ikko Eltociear Ashimine	e**r@g**m	1

Issue and Pull Request metadata

Last synced: 9 days ago

Total issues: 8
Total pull requests: 3
Average time to close issues: 19 days
Average time to close pull requests: 2 minutes
Total issue authors: 8
Total pull request authors: 2
Average comments per issue: 1.0
Average comments per pull request: 0.33
Merged pull request: 3
Bot issues: 0
Bot pull requests: 2

Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: about 2 months
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 0.5
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/Chongjie-Si/Subspace-Tuning

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pty819 (1)
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dependencies (2)

Dependencies

NLG_QA/examples/question-answering/requirements.txt pypi

accelerate *
datasets >=1.8.0
torch >=1.3.0

NLG_QA/examples/summarization/requirements.txt pypi

absl-py ==1.1.0
accelerate ==0.10.0
datasets ==2.3.2
nltk *
packaging *
protobuf ==3.17.3
py7zr *
pyarrow ==8.0.0
rouge-score *
scipy *
sentencepiece ==0.1.96
setuptools ==59.5.0
six *
tensorboard *
tensorboardX *
wrapt *

NLG_QA/requirements.txt pypi

absl-py ==1.1.0
accelerate ==0.10.0
datasets ==2.3.2
nltk *
packaging *
protobuf ==3.17.3
py7zr *
pyarrow ==8.0.0
rouge-score *
scipy *
sentencepiece ==0.1.96
setuptools ==59.5.0
six *
tensorboardX *
wrapt *

NLG_QA/setup.py pypi

deps *

NLU/examples/text-classification/requirements.txt pypi

accelerate *
datasets >=1.1.3
protobuf *
sentencepiece *

NLU/requirements.txt pypi

absl-py ==1.0.0
accelerate ==0.3.0
azureml-defaults *
datasets ==1.9.0
deepspeed ==0.5.0
dill ==0.3.4
importlib-metadata ==4.6.1
mlflow *
numpy ==1.20.2
pandas ==1.3.0
requests *
scikit-learn ==0.24.2
scipy ==1.7.0
sentencepiece ==0.1.96
tensorboardX *
tensorflow ==2.9.1
tqdm ==4.61.2
wrapt ==1.12.1

NLU/setup.py pypi

deps *

loralib/setup.py pypi

CR_MR/peft/pyproject.toml pypi

CR_MR/peft/setup.py pypi

accelerate *
numpy >=1.17
packaging >=20.0
psutil *
pyyaml *
torch >=1.13.0
transformers *

CR_MR/pyproject.toml pypi

CR_MR/requirements.txt pypi

accelerate ==0.25.0
appdirs ==1.4.4
bitsandbytes ==0.41.3.post2
black ==23.12.0
black *
datasets ==2.15.0
fire ==0.5.0
gradio ==4.9.0
protobuf *
scipy ==1.11.4
sentencepiece ==0.1.99

SdG/requirements.txt pypi

Jinja2 *
accelerate >=0.16.0
ftfy *
tensorboard *
torchvision *
transformers >=4.25.1

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