Alternatives and similar repositories for default-moe

Users that are interested in default-moe are comparing it to the libraries listed below

• shoaibahmed / llm_depth_pruning
  Official implementation of the paper: "A deeper look at depth pruning of LLMs"
  ☆15Updated last year
• Infini-AI-Lab / S2FT
  ☆19Updated last year
• TianjinYellow / StableSPAM
  ☆27Updated 10 months ago
• IST-DASLab / RoSA
  Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)
  ☆44Updated 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
• ylsung / rsq
  Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"
  ☆20Updated 8 months ago
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆47Updated 5 months ago
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆30Updated last year
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆24Updated last year
• Qualcomm-AI-research / lr-qat
  ☆52Updated last year
• deep-spin / adasplash
  AdaSplash: Adaptive Sparse Flash Attention (aka Flash Entmax Attention)
  ☆32Updated 4 months ago
• IST-DASLab / DarwinLM
  Official Pytorch Implementation of Paper "DarwinLM: Evolutionary Structured Pruning of Large Language Models"
  ☆20Updated 11 months ago
• 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
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆88Updated last year
• Nota-NetsPresso / shortened-llm
  Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]
  ☆90Updated last year
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆44Updated last year
• thu-ml / TetraJet-MXFP4Training
  Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training
  ☆36Updated 7 months ago
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆35Updated last year
• yxli2123 / LoSparse
  ☆63Updated 2 years ago
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆67Updated 7 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
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆117Updated 2 weeks ago
• jongwooko / distillm-2
  Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)
  ☆57Updated 7 months ago
• thu-nics / R2R
  [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…
  ☆76Updated last week
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆124Updated last year
• ScalingIntelligence / CATS
  ☆31Updated last year
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆60Updated last year
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆98Updated last year
• IST-DASLab / QuEST
  Work in progress.
  ☆79Updated 2 months ago
• IST-DASLab / MicroAdam
  This repository contains code for the MicroAdam paper.
  ☆22Updated last year