Alternatives and similar repositories for Multi-Level-OT

Users that are interested in Multi-Level-OT are comparing it to the libraries listed below

• GCYZSL / MoLA
  ☆176Updated last year
• fscdc / Awesome-Efficient-Reasoning-Models
  [TMLR 2025] Efficient Reasoning Models: A Survey
  ☆298Updated last week
• CASIA-LMC-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆69Updated 2 years ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆233Updated last year
• hemingkx / TokenSkip
  [EMNLP 2025] TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  ☆201Updated 2 months ago
• RUCKBReasoning / LLM-Streamline
  Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"
  ☆39Updated 9 months ago
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆153Updated 7 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…
  ☆61Updated 5 months ago
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆171Updated last week
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆203Updated last year
• cmnfriend / O-LoRA
  ☆196Updated last year
• lliai / Awesome-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆128Updated last year
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆84Updated last year
• aim-uofa / LoRAPrune
  ☆63Updated last year
• cliang1453 / task-aware-distillation
  Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
  ☆40Updated 2 years ago
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆91Updated last year
• DavidFanzz / SCMoE
  ☆28Updated last year
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆36Updated last year
• wutaiqiang / MoSLoRA
  ☆125Updated last year
• ZhenweiAn / Dynamic_MoE
  Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"
  ☆67Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆143Updated 10 months ago
• Alsace08 / Chain-of-Embedding
  [ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
  ☆93Updated last year
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆46Updated last year
• withinmiaov / A-Survey-on-Mixture-of-Experts-in-LLMs
  [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".
  ☆482Updated 6 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆67Updated 10 months ago
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆133Updated 10 months ago
• NiuTrans / Vision-LLM-Alignment
  This repository contains the code for SFT, RLHF, and DPO, designed for vision-based LLMs, including the LLaVA models and the LLaMA-3.2-vi…
  ☆117Updated 7 months ago
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆27Updated 8 months ago
• Osilly / dynamic_llava
  [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…
  ☆70Updated 4 months ago
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆146Updated last year