MohammadrezaBanaei / LoRA-XSLinks
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
☆42Updated 2 months ago
Alternatives and similar repositories for LoRA-XS
Users that are interested in LoRA-XS are comparing it to the libraries listed below
Sorting:
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆69Updated 7 months ago
- A curated list of Model Merging methods.☆91Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆184Updated last year
- Awesome-Low-Rank-Adaptation☆116Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆92Updated 11 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆83Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆22Updated last year
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆227Updated 10 months ago
- ☆77Updated 3 years ago
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆27Updated 4 months ago
- Awesome Low-Rank Adaptation☆50Updated 2 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆133Updated 6 months ago
- The repo for HiRA paper☆31Updated 3 months ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆20Updated 2 weeks ago
- Model Merging with SVD to Tie the KnOTS [ICLR 2025]☆68Updated 6 months ago
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆24Updated 8 months ago
- ☆11Updated 2 months ago
- ☆60Updated 10 months ago
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆192Updated last year
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆52Updated 9 months ago
- Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)☆44Updated 4 months ago
- Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …☆34Updated 4 months ago
- ☆33Updated 8 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆30Updated last month
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆28Updated last year
- ☆194Updated last year