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NVlabs/DoRA

stable

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

commonsense-reasoningdeep-learningdeep-neural-networksinstruction-tuninglarge-language-modelslarge-vision-language-modelsloraparameter-efficient-fine-tuning
Velocity score
0.03/ 10
[STARS]
968
[FORKS]
63
[CONTRIBUTORS]
3
[LAST_COMMIT]
1mo ago
OPEN_ON_GITHUB
Velocity class: stable
30-day stars
0.03/ 10 score
last 36d
[SIGNAL_TRACE / 36_PT]
Score breakdown
654/ 1000
fine-tuning · NVlabs/DoRA
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
885
[INSTALL_VEL]
500
[ACTIVITY]
294
[COMMUNITY_SIGNAL]
353

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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