Alternatives and similar repositories for LoRA-Pro

Users that are interested in LoRA-Pro are comparing it to the libraries listed below

• wutaiqiang / MoSLoRA
  ☆108Updated last year
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆147Updated 3 weeks ago
• Outsider565 / LoRA-GA
  ☆202Updated 8 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆79Updated last year
• GCYZSL / MoLA
  ☆143Updated 11 months ago
• Kevinz-code / SeVa
  [MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501
  ☆56Updated 11 months ago
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆32Updated 11 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆216Updated 7 months ago
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆31Updated last year
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆95Updated last year
• aim-uofa / LoRAPrune
  ☆56Updated 7 months ago
• BAAI-DCAI / Dataset-Pruning
  Dataset pruning for ImageNet and LAION-2B.
  ☆78Updated last year
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated 10 months ago
• lliai / Awesome-LoRA-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆110Updated 9 months ago
• cmnfriend / O-LoRA
  ☆179Updated last year
• UCSC-VLAA / VLAA-Thinking
  SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
  ☆124Updated 2 months ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆168Updated 10 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆59Updated 4 months ago
• Chaos96 / fourierft
  ☆147Updated 10 months ago
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆106Updated 4 months ago
• SJTU-DeepVisionLab / FLoRA
  ☆39Updated 11 months ago
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆116Updated last week
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆86Updated 7 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆86Updated 8 months ago
• FreedomIntelligence / MLLM-Bench
  MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
  ☆70Updated 9 months ago
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆38Updated 9 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆99Updated last week
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆46Updated 6 months ago
• pixeli99 / OWS
  Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …
  ☆33Updated last month
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆66Updated last month