Alternatives and similar repositories for MoE-PEFT

Users that are interested in MoE-PEFT are comparing it to the libraries listed below

• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆186Updated last year
• GCYZSL / MoLA
  ☆152Updated last year
• hemingkx / TokenSkip
  [EMNLP 2025] TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  ☆179Updated 2 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆122Updated 6 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆222Updated 9 months ago
• EIT-NLP / Awesome-Latent-CoT
  This repository contains a regularly updated paper list for LLMs-reasoning-in-latent-space.
  ☆156Updated 2 weeks ago
• Joshua-Ren / Learning_dynamics_LLM
  ☆166Updated 4 months ago
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆85Updated 7 months ago
• liuqidong07 / MOELoRA-peft
  [SIGIR'24] The official implementation code of MOELoRA.
  ☆178Updated last year
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆129Updated 2 months ago
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆130Updated 10 months ago
• THU-KEG / AdaptThink
  ☆152Updated 3 months ago
• Alsace08 / Chain-of-Embedding
  [ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
  ☆79Updated 9 months ago
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆89Updated 9 months ago
• hahahawu / Long-to-Short-via-Model-Merging
  Model merging is a highly efficient approach for long-to-short reasoning.
  ☆82Updated 3 months ago
• GeniusHTX / TALE
  ☆130Updated last week
• getao / icae
  The repo for In-context Autoencoder
  ☆138Updated last year
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆73Updated 2 months ago
• Outsider565 / LoRA-GA
  ☆209Updated 11 months ago
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆35Updated last year
• DavidFanzz / SCMoE
  ☆27Updated last year
• Zanette-Labs / efficient-reasoning
  ☆66Updated 5 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆83Updated last week
• cmnfriend / O-LoRA
  ☆184Updated last year
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆83Updated last year
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆42Updated last year
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆124Updated 2 months ago
• wutaiqiang / MoSLoRA
  ☆116Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆131Updated 5 months ago
• zitian-gao / one-shot-em
  One-shot Entropy Minimization
  ☆183Updated 3 months ago