Alternatives and similar repositories for LoRA-Pro

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

• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆165Updated 6 months ago
• wutaiqiang / MoSLoRA
  ☆125Updated last year
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆84Updated last year
• Outsider565 / LoRA-GA
  ☆217Updated 2 months ago
• GCYZSL / MoLA
  ☆174Updated last year
• cmnfriend / O-LoRA
  ☆195Updated last year
• SJTU-DeepVisionLab / FLoRA
  ☆43Updated last year
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆36Updated last year
• Chaos96 / fourierft
  ☆152Updated last year
• Kevinz-code / SeVa
  [MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501
  ☆61Updated last year
• UCSC-VLAA / VLAA-Thinking
  [TMLR 25] SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
  ☆146Updated 3 months ago
• duguodong7 / pcb-merging
  [NeurIPS 2024] For paper Parameter Competition Balancing for Model Merging
  ☆48Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆35Updated last year
• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆45Updated 6 months ago
• DavidFanzz / SCMoE
  ☆28Updated last year
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆40Updated last year
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆91Updated last year
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆27Updated 8 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆234Updated last year
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆202Updated last year
• pixeli99 / OWS
  Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …
  ☆35Updated 7 months ago
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆152Updated 6 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆141Updated 10 months ago
• FreedomIntelligence / MLLM-Bench
  MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
  ☆72Updated last year
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆101Updated last year
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆30Updated last year
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆46Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆100Updated last year
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆152Updated 6 months ago
• RUCAIBox / Virgo
  Official code of *Virgo: A Preliminary Exploration on Reproducing o1-like MLLM*
  ☆109Updated 7 months ago