Alternatives and similar repositories for LibMoE

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

• pphuc25 / distil-cd
  Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
  ☆35Updated last year
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆135Updated 3 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆108Updated this week
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆56Updated last year
• Yuheng2000 / Awesome-LoRA
  Awesome Low-Rank Adaptation
  ☆48Updated 2 months ago
• DavidFanzz / SCMoE
  ☆28Updated last year
• arpita8 / Awesome-Mixture-of-Experts-Papers
  Survey: A collection of AWESOME papers and resources on the latest research in Mixture of Experts.
  ☆135Updated last year
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆129Updated 7 months ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆82Updated 11 months ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆128Updated 3 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆92Updated 11 months ago
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆46Updated last year
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆75Updated 3 months ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆191Updated last year
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆52Updated 9 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆69Updated 7 months ago
• zefang-liu / AdaMoLE
  AdaMoLE: Adaptive Mixture of LoRA Experts
  ☆37Updated last year
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆124Updated 7 months ago
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆177Updated 6 months ago
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆70Updated last year
• prateeky2806 / ties-merging
  ☆194Updated last year
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆40Updated last year
• stanfordmlgroup / ManyICL
  ☆142Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆132Updated 6 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆82Updated last year
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆44Updated last year
• EvolvingLMMs-Lab / multimodal-sae
  [ICCV 2025] Auto Interpretation Pipeline and many other functionalities for Multimodal SAE Analysis.
  ☆158Updated 3 weeks ago
• r-three / smear
  ☆30Updated 2 years ago
• yuhui-zh15 / AutoConverter
  Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…
  ☆37Updated 4 months ago
• UNITES-Lab / MC-SMoE
  [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆95Updated 3 months ago