Alternatives and similar repositories for MiLoRA

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

• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆143Updated 9 months ago
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆69Updated 6 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆84Updated last year
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆168Updated 7 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆76Updated 11 months ago
• abdelfattah-lab / TokenButler
  ☆27Updated 2 months ago
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆40Updated last year
• leo-yangli / VB-LoRA
  This repo contains the source code for VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks (NeurIPS 2024).
  ☆42Updated last year
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆36Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆71Updated 7 months ago
• SJTU-DeepVisionLab / FLoRA
  ☆43Updated last year
• THUDM / Awesome-Parameter-Efficient-Fine-Tuning-for-Foundation-Models
  Parameter-Efficient Fine-Tuning for Foundation Models
  ☆109Updated 10 months ago
• OpenSparseLLMs / CLIP-MoE
  CLIP-MoE: Mixture of Experts for CLIP
  ☆55Updated last year
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆53Updated last year
• wutaiqiang / MoSLoRA
  ☆125Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆35Updated last year
• csarron / PuMer
  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  ☆36Updated last year
• Chaos96 / fourierft
  ☆152Updated last year
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆113Updated this week
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆46Updated last year
• DavidFanzz / SCMoE
  ☆28Updated last year
• duguodong7 / pcb-merging
  [NeurIPS 2024] For paper Parameter Competition Balancing for Model Merging
  ☆48Updated last year
• FeiyuZhang98 / IncreLoRA
  ☆34Updated 2 years ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• WailordHe / DenseSSM
  A repository for DenseSSMs
  ☆88Updated last year
• RobertCsordas / switchhead
  ☆17Updated 7 months ago
• locuslab / llava-token-compression
  ☆46Updated last year
• MikaStars39 / StableMask
  PyTorch implementation of StableMask (ICML'24)
  ☆15Updated last year
• pixeli99 / MixLN
  [ICLR 2025] Official Pytorch Implementation of "Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN" by Pengxia…
  ☆29Updated 6 months ago
• ywh187 / FitPrune
  ☆64Updated last week