Alternatives and similar repositories for Dynamic_MoE

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

• OpenSparseLLMs / Linear-MoE
  ☆114Updated 2 months ago
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆121Updated last month
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆126Updated 9 months ago
• hemingkx / TokenSkip
  TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  ☆171Updated last month
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆86Updated 8 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆118Updated 4 months ago
• liuqidong07 / MOELoRA-peft
  [SIGIR'24] The official implementation code of MOELoRA.
  ☆175Updated last year
• GCYZSL / MoLA
  ☆149Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆82Updated 5 months ago
• THU-KEG / AdaptThink
  ☆141Updated 2 months ago
• OpenSparseLLMs / MoM
  ☆96Updated 3 months ago
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆108Updated 5 months ago
• songmzhang / DSKD
  Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…
  ☆56Updated 9 months ago
• testtimescaling / testtimescaling.github.io
  "what, how, where, and how well? a survey on test-time scaling in large language models" repository
  ☆57Updated this week
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆157Updated last year
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆176Updated 11 months ago
• hahahawu / Long-to-Short-via-Model-Merging
  Model merging is a highly efficient approach for long-to-short reasoning.
  ☆77Updated 2 months ago
• wutaiqiang / MoSLoRA
  ☆112Updated last year
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆90Updated last month
• Zanette-Labs / SpeculativeRejection
  [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
  ☆49Updated 9 months ago
• hemingkx / SWIFT
  [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
  ☆52Updated 5 months ago
• ChasonShi / MELoRA
  code for ACL24 "MELoRA: Mini-Ensemble Low-Rank Adapter for Parameter-Efficient Fine-Tuning"
  ☆22Updated 5 months ago
• SkyworkAI / skywork-o1-prm-inference
  ☆65Updated 8 months ago
• TemporaryLoRA / Block-Attention
  ☆25Updated 4 months ago
• GeniusHTX / TALE
  ☆127Updated 2 months ago
• sanowl / OmegaPRM
  this is an implementation for the paper Improve Mathematical Reasoning in Language Models by Automated Process Supervision from google de…
  ☆36Updated last month
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆62Updated 8 months ago
• pprp / Awesome-Efficient-MoE
  Efficient Mixture of Experts for LLM Paper List
  ☆87Updated 7 months ago
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆63Updated 9 months ago