Alternatives and similar repositories for AdaLoRA

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

• Outsider565 / LoRA-GA
  ☆198Updated 7 months ago
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆339Updated last year
• GraphPKU / PiSSA
  PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)
  ☆356Updated 4 months ago
• cmnfriend / O-LoRA
  ☆174Updated 10 months ago
• GCYZSL / MoLA
  ☆138Updated 10 months ago
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆453Updated 7 months ago
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆396Updated last year
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆203Updated 6 months ago
• liuqidong07 / MOELoRA-peft
  [SIGIR'24] The official implementation code of MOELoRA.
  ☆167Updated 10 months ago
• Cohere-Labs-Community / parameter-efficient-moe
  ☆259Updated last year
• dvlab-research / Step-DPO
  Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"
  ☆368Updated 4 months ago
• bojone / rerope
  Rectified Rotary Position Embeddings
  ☆370Updated last year
• wutaiqiang / MoSLoRA
  ☆105Updated 10 months ago
• jxhe / unify-parameter-efficient-tuning
  Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
  ☆529Updated 3 years ago
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆141Updated 3 months ago
• Wang-ML-Lab / llm-continual-learning-survey
  [CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
  ☆413Updated 2 weeks ago
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆284Updated last year
• jongwooko / distillm
  Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)
  ☆217Updated 2 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆637Updated 10 months ago
• yxli2123 / LoftQ
  ☆222Updated 11 months ago
• yushuiwx / Mixture-of-LoRA-Experts
  ☆35Updated 6 months ago
• OpenNLPLab / TransnormerLLM
  Official implementation of TransNormerLLM: A Faster and Better LLM
  ☆243Updated last year
• pjlab-sys4nlp / llama-moe
  ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
  ☆964Updated 5 months ago
• EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
  Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
  ☆417Updated this week
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆555Updated 5 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆76Updated last year
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆123Updated last year
• tianyi-lab / Cherry_LLM
  [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…
  ☆370Updated 8 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆612Updated last year
• xiaoya-li / Instruction-Tuning-Survey
  Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`
  ☆178Updated 6 months ago