Alternatives and similar repositories for Random-MoE-as-Dropout:

Users that are interested in Random-MoE-as-Dropout are comparing it to the libraries listed below

• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆37Updated last year
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆51Updated 2 months ago
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆28Updated last year
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 2 weeks ago
• VITA-Group / Ms-PoE
  "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…
  ☆29Updated 11 months ago
• raymin0223 / fast_robust_early_exit
  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
  ☆59Updated 7 months ago
• yxli2123 / LoSparse
  ☆51Updated last year
• thunlp / MoEfication
  ☆130Updated 9 months ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆53Updated 7 months ago
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆23Updated 10 months ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆76Updated last year
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆58Updated last month
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆25Updated 5 months ago
• shoaibahmed / llm_depth_pruning
  Official implementation of the paper: "A deeper look at depth pruning of LLMs"
  ☆15Updated 9 months ago
• cliang1453 / task-aware-distillation
  Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
  ☆34Updated last year
• thunlp / Modularity-Analysis
  Repo for ACL2023 Findings paper "Emergent Modularity in Pre-trained Transformers"
  ☆23Updated last year
• chijames / KERPLE
  ☆19Updated 2 years ago
• OpenSparseLLMs / Linearization
  ☆39Updated last month
• HazyResearch / prefix-linear-attention
  ☆53Updated 9 months ago
• DRSY / KV_Compression
  [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens
  ☆24Updated last year
• VITA-Group / LoCoCo
  [ICML‘2024] "LoCoCo: Dropping In Convolutions for Long Context Compression", Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
  ☆16Updated 7 months ago
• abdelfattah-lab / TokenButler
  ☆22Updated last month
• OpenSparseLLMs / MoM
  ☆77Updated 2 weeks ago
• r-three / smear
  ☆29Updated last year
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆37Updated 6 months ago
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆39Updated last year
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆61Updated 3 years ago
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆36Updated 11 months ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆71Updated 2 years ago