ArthurLeoM / peft-givensLinks
source code of (quasi-)Givens Orthogonal Fine Tuning integrated to peft lib
☆17Updated 9 months ago
Alternatives and similar repositories for peft-givens
Users that are interested in peft-givens are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆74Updated 9 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆97Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆24Updated last year
- Awesome-Low-Rank-Adaptation☆124Updated last year
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Updated last year
- Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …☆35Updated 6 months ago
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆235Updated last year
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆163Updated 5 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆85Updated last year
- A curated list of Model Merging methods.☆94Updated 2 weeks ago
- ☆124Updated last year
- Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.☆38Updated this week
- ☆152Updated last year
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆138Updated 8 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆105Updated last year
- ☆11Updated 4 months ago
- ☆28Updated last year
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆53Updated 11 months ago
- ☆61Updated last year
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆29Updated 6 months ago
- Official repository of the "Transformer Fusion with Optimal Transport" paper, published as a conference paper at ICLR 2024.☆30Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated last year
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆51Updated 11 months ago
- Awesome Low-Rank Adaptation☆57Updated 4 months ago
- [ICML2025] Test-Time Learning for Large Language Models☆37Updated 3 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆47Updated last year
- ☆28Updated last year
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆39Updated last year
- ☆216Updated 3 weeks ago