Alternatives and similar repositories for EvoMoE

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

• thunlp / MoEfication
  ☆142Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆33Updated 2 years ago
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆113Updated last year
• adymaharana / d2pruning
  ☆43Updated 2 years ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆56Updated 11 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"
  ☆102Updated 6 months ago
• raymin0223 / fast_robust_early_exit
  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
  ☆65Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆190Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆84Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆34Updated last year
• r-three / smear
  ☆30Updated 2 years ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆44Updated last year
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆96Updated last month
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆176Updated last year
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆91Updated last year
• haonan3 / AnchorContext
  AnchorAttention: Improved attention for LLMs long-context training
  ☆213Updated 11 months ago
• jongwooko / distillm-2
  Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)
  ☆54Updated 6 months ago
• FeiyuZhang98 / IncreLoRA
  ☆34Updated 2 years ago
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆38Updated last year
• hdong920 / GRIFFIN
  ☆39Updated last year
• 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
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆46Updated 3 years ago
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆107Updated 2 months ago
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆87Updated 2 years ago
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆71Updated last year
• berlino / gated_linear_attention
  ☆106Updated last year
• SalesforceAIResearch / GemFilter
  ☆85Updated last month
• ScalingIntelligence / large_language_monkeys
  ☆112Updated last year