zju-vipa / training_free_model_mergingLinks
This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
☆32Updated last year
Alternatives and similar repositories for training_free_model_merging
Users that are interested in training_free_model_merging are comparing it to the libraries listed below
Sorting:
- ☆38Updated last year
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- Model Merging with SVD to Tie the KnOTS [ICLR 2025]☆83Updated 9 months ago
- VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models☆24Updated 9 months ago
- Original code base for On Pretraining Data Diversity for Self-Supervised Learning☆14Updated last year
- Code for T-MARS data filtering☆35Updated 2 years ago
- [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models☆36Updated last year
- i-mae Pytorch Repo☆20Updated last year
- [CVPR 2024] DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model☆18Updated last year
- Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.☆22Updated 4 years ago
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆22Updated last year
- [NIPS2023]Implementation of Foundation Model is Efficient Multimodal Multitask Model Selector☆37Updated last year
- Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types☆33Updated 6 months ago
- Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"☆42Updated 7 months ago
- ☆17Updated last year
- Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)☆16Updated last year
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆57Updated last year
- Adapting LLaMA Decoder to Vision Transformer☆30Updated last year
- ☆46Updated last year
- [ICLR 2025] Official Pytorch Implementation of "Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN" by Pengxia…☆27Updated 5 months ago
- ☆17Updated 2 years ago
- [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling☆55Updated 8 months ago
- Are gradient information useful for pruning of LLMs?☆47Updated 4 months ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆61Updated last year
- This repo contains the source code for VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks (NeurIPS 2024).☆42Updated last year
- [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections☆21Updated last year
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆62Updated last year
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆41Updated 4 months ago