Alternatives and similar repositories for AdaLoRA

Users that are interested in AdaLoRA are comparing it to the libraries listed below

• Outsider565 / LoRA-GA
  ☆216Updated last month
• cmnfriend / O-LoRA
  ☆192Updated last year
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆391Updated last year
• GraphPKU / PiSSA
  PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)
  ☆405Updated 5 months ago
• GCYZSL / MoLA
  ☆171Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆509Updated last year
• liuqidong07 / MOELoRA-peft
  [SIGIR'24] The official implementation code of MOELoRA.
  ☆186Updated last year
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆235Updated last year
• jxhe / unify-parameter-efficient-tuning
  Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
  ☆541Updated 3 years ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆200Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆272Updated 2 years ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆85Updated last year
• wutaiqiang / MoSLoRA
  ☆124Updated last year
• yushuiwx / Mixture-of-LoRA-Experts
  ☆61Updated last year
• pjlab-sys4nlp / llama-moe
  ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
  ☆1,002Updated last year
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆286Updated 2 years ago
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆163Updated 6 months ago
• EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
  Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
  ☆627Updated this week
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆131Updated 9 months ago
• getao / icae
  The repo for In-context Autoencoder
  ☆157Updated last year
• withinmiaov / A-Survey-on-Mixture-of-Experts-in-LLMs
  [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".
  ☆468Updated 5 months ago
• codecaution / Awesome-Mixture-of-Experts-Papers
  A curated reading list of research in Mixture-of-Experts(MoE).
  ☆654Updated last year
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆663Updated last year
• ylsung / Ladder-Side-Tuning
  PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"
  ☆242Updated 2 years ago
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆406Updated last year
• Wang-ML-Lab / llm-continual-learning-survey
  [CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
  ☆484Updated 7 months ago
• Chaos96 / fourierft
  ☆152Updated last year
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆452Updated last year
• Strivin0311 / long-llms-learning
  A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
  ☆269Updated last year
• hemingkx / TokenSkip
  [EMNLP 2025] TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  ☆197Updated 3 weeks ago