Alternatives and similar repositories for Awesome-Token-Merge-for-MLLMs

Users that are interested in Awesome-Token-Merge-for-MLLMs are comparing it to the libraries listed below

• 42Shawn / LLaVA-PruMerge
  LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
  ☆162Updated 4 months ago
• lzhxmu / VTW
  Code release for VTW (AAAI 2025 Oral)
  ☆64Updated 3 months ago
• Theia-4869 / FasterVLM
  Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.
  ☆105Updated 7 months ago
• Cooperx521 / PyramidDrop
  (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
  ☆141Updated 10 months ago
• Gumpest / SparseVLMs
  [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference" and "Sp…
  ☆234Updated last month
• ywh187 / FitPrune
  ☆64Updated last week
• KD-TAO / DyCoke
  [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
  ☆96Updated 2 months ago
• ZichenWen1 / DART
  [EMNLP 2025 main 🔥] Code for "Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More"
  ☆101Updated 3 months ago
• cokeshao / Awesome-Multimodal-Token-Compression
  [TMLR 2026] Survey: https://arxiv.org/pdf/2507.20198
  ☆290Updated this week
• Osilly / dynamic_llava
  [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…
  ☆69Updated 4 months ago
• liuting20 / MustDrop
  Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model
  ☆37Updated last year
• thu-nics / FrameFusion
  [ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"
  ☆68Updated 3 weeks ago
• SUSTechBruce / LOOK-M
  [EMNLP 2024 Findings🔥] Official implementation of ": LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context In…
  ☆104Updated last year
• xuyang-liu16 / Awesome-Token-level-Model-Compression
  📚 Collection of token-level model compression resources.
  ☆189Updated 5 months ago
• cokeshao / HoliTom
  [NeurIPS 2025] HoliTom: Holistic Token Merging for Fast Video Large Language Models
  ☆70Updated 3 months ago
• ML-GSAI / Diffusion-LLM-Papers
  A Collection of Papers on Diffusion Language Models
  ☆154Updated 4 months ago
• hasanar1f / HiRED
  [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…
  ☆44Updated 9 months ago
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆53Updated last year
• MAC-AutoML / QuoTA
  ✨✨[AAAI 2026] This is the official implementation of our paper "QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Vi…
  ☆77Updated 9 months ago
• vbdi / divprune
  [CVPR 2025] DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
  ☆65Updated 2 months ago
• yaolinli / TimeChat-Online
  [ACM MM 2025] TimeChat-online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
  ☆114Updated last month
• xinyan-cxy / MINT-CoT
  [NeurIPS 2025] MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
  ☆96Updated 4 months ago
• xuyang-liu16 / VidCom2
  [EMNLP 2025 Main] Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
  ☆57Updated last week
• Theia-4869 / CDPruner
  [NeurIPS 2025] Official code for paper: Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs.
  ☆84Updated 4 months ago
• minglllli / CLS-RL
  [NeurIPS 2025 Spotlight] Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-Tuning
  ☆78Updated 4 months ago
• MME-Benchmarks / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆152Updated 3 months ago
• xuyang-liu16 / GlobalCom2
  [AAAI 2026] Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models
  ☆38Updated last week
• shufangxun / LLaVA-MoD
  [ICLR 2025] LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
  ☆221Updated 10 months ago
• LALBJ / PAI
  [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
  ☆163Updated last year
• MMStar-Benchmark / MMStar
  [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
  ☆203Updated last year