THU-MIG / PrefixKVLinks
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation
☆13Updated 9 months ago
Alternatives and similar repositories for PrefixKV
Users that are interested in PrefixKV are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…☆51Updated 9 months ago
- Cross-Self KV Cache Pruning for Efficient Vision-Language Inference☆10Updated 8 months ago
- Code release for VTW (AAAI 2025 Oral)☆49Updated last month
- A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.☆69Updated 7 months ago
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models☆126Updated last month
- [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.☆105Updated 8 months ago
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆154Updated 2 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model☆88Updated last year
- ☆54Updated 4 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆129Updated 4 months ago
- ☆115Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆47Updated 8 months ago
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆49Updated 7 months ago
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆143Updated 2 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆59Updated last year
- [EMNLP 2024 Findings🔥] Official implementation of ": LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context In…☆99Updated 9 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆65Updated 5 months ago
- Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model☆34Updated 7 months ago
- [CVPR 2025] DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models☆42Updated 3 months ago
- ☆16Updated 9 months ago
- ☆41Updated last year
- [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".☆151Updated 3 months ago
- Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.☆86Updated 2 months ago
- ☆26Updated last year
- The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)☆61Updated 2 months ago
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆21Updated 5 months ago
- Awesome-Low-Rank-Adaptation☆115Updated 10 months ago
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆99Updated 2 years ago