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? "
  ☆133Updated 7 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆83Updated last year
• SJTU-DeepVisionLab / FLoRA
  ☆41Updated last year
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆109Updated this week
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆39Updated last year
• wutaiqiang / MoSLoRA
  ☆123Updated last year
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆68Updated 4 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆71Updated 8 months ago
• 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
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆158Updated 4 months ago
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆52Updated 9 months ago
• abdelfattah-lab / TokenButler
  ☆26Updated 3 months ago
• Chaos96 / fourierft
  ☆148Updated last year
• RobertCsordas / switchhead
  ☆16Updated 4 months ago
• DavidFanzz / SCMoE
  ☆27Updated last year
• locuslab / llava-token-compression
  ☆44Updated last year
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆45Updated last year
• hasanar1f / HiRED
  [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…
  ☆41Updated 6 months 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
• THUDM / Awesome-Parameter-Efficient-Fine-Tuning-for-Foundation-Models
  Parameter-Efficient Fine-Tuning for Foundation Models
  ☆98Updated 7 months ago
• aim-uofa / LoRAPrune
  ☆60Updated 10 months ago
• sdc17 / UPop
  [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
  ☆105Updated 10 months ago
• SempraETY / Pruning-via-Merging
  ☆22Updated 11 months ago
• ywh187 / FitPrune
  ☆59Updated 6 months ago
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆70Updated 4 months ago
• csarron / PuMer
  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  ☆34Updated last year
• OpenGVLab / LLMPrune-BESA
  BESA is a differentiable weight pruning technique for large language models.
  ☆17Updated last year
• yuecao0119 / MMFuser
  The official implementation of the paper "MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding". …
  ☆59Updated last year
• czg1225 / dParallel
  dParallel: Learnable Parallel Decoding for dLLMs
  ☆38Updated 3 weeks ago
• lliai / D2MoE
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆69Updated 7 months ago