Alternatives and similar repositories for YOPO_MLLM_Pruning:

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

• shufangxun / LLaVA-MoD
  [ICLR 2025] LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
  ☆144Updated last month
• MME-Benchmarks / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆114Updated 2 months ago
• Cooperx521 / PyramidDrop
  (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
  ☆94Updated 2 months ago
• alibaba / conv-llava
  ☆115Updated 9 months ago
• JinXins / Awesome-Token-Merge-for-MLLMs
  A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.
  ☆53Updated 3 months ago
• ZichenWen1 / DART
  Code for "Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More"
  ☆39Updated last week
• Fantasyele / LLaVA-KD
  ☆74Updated 5 months ago
• ywh187 / FitPrune
  ☆44Updated this week
• lzhxmu / VTW
  Code release for VTW (AAAI 2025) Oral
  ☆37Updated 3 months ago
• Gumpest / SparseVLMs
  [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".
  ☆97Updated this week
• foundation-multimodal-models / CAL
  [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
  ☆56Updated 7 months ago
• Kwai-YuanQi / MM-RLHF
  The Next Step Forward in Multimodal LLM Alignment
  ☆149Updated this week
• Theia-4869 / FasterVLM
  Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.
  ☆73Updated 4 months ago
• RupertLuo / VoCoT
  VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
  ☆55Updated 9 months ago
• KangarooGroup / Kangaroo
  official impelmentation of Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input
  ☆64Updated 8 months ago
• ding523 / Curr_REFT
  ☆53Updated 2 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…
  ☆93Updated 5 months ago
• 42Shawn / LLaVA-PruMerge
  LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
  ☆127Updated 11 months ago
• zhourax / VEGA
  ☆36Updated 9 months ago
• BAAI-DCAI / DataOptim
  A collection of visual instruction tuning datasets.
  ☆76Updated last year
• ggjy / DeLVM
  ☆116Updated 11 months ago
• Liuziyu77 / MMDU
  Official repository of MMDU dataset
  ☆89Updated 7 months ago
• RifleZhang / LLaVA-Reasoner-DPO
  ☆75Updated 4 months ago
• yu-rp / VisualPerceptionToken
  ☆82Updated last month
• swordlidev / Evaluation-Multimodal-LLMs-Survey
  A Survey on Benchmarks of Multimodal Large Language Models
  ☆100Updated last month
• UCSC-VLAA / VLAA-Thinking
  SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
  ☆99Updated 2 weeks ago
• HJYao00 / DenseConnector
  【NeurIPS 2024】Dense Connector for MLLMs
  ☆162Updated 6 months ago
• JiuTian-VL / MoME
  [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
  ☆58Updated 4 months ago
• 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"
  ☆176Updated 7 months ago
• MME-Benchmarks / MME-CoT
  MME-CoT: Benchmarking Chain-of-Thought in LMMs for Reasoning Quality, Robustness, and Efficiency
  ☆104Updated this week