leo-yangli / VB-LoRA
This repo contains the source code for VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks (NeurIPS 2024).
☆37Updated 6 months ago
Alternatives and similar repositories for VB-LoRA:
Users that are interested in VB-LoRA are comparing it to the libraries listed below
- iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models☆18Updated 2 months ago
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.☆32Updated 3 months ago
- Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model☆26Updated 3 months ago
- The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)☆45Updated last month
- ☆99Updated 9 months ago
- AdaMoLE: Adaptive Mixture of LoRA Experts☆26Updated 6 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆111Updated last week
- [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models☆57Updated 4 months ago
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆28Updated 2 months ago
- CLIP-MoE: Mixture of Experts for CLIP☆31Updated 6 months ago
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆19Updated last year
- Codes for Merging Large Language Models☆29Updated 8 months ago
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆29Updated last year
- [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models☆29Updated 6 months ago
- BESA is a differentiable weight pruning technique for large language models.☆16Updated last year
- ☆71Updated 3 months ago
- ☆43Updated this week
- ☆38Updated last year
- Code for "Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More"☆31Updated 2 weeks ago
- ☆41Updated 3 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- Adapting LLaMA Decoder to Vision Transformer☆28Updated 10 months ago
- Data distillation benchmark☆58Updated this week
- ☆40Updated 5 months ago
- Code release for VTW (AAAI 2025) Oral☆34Updated 3 months ago
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆20Updated 7 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆77Updated last month
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆62Updated 6 months ago
- [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model☆87Updated last year
- [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"☆53Updated last year