Skhaki18 / optin-transformer-pruning
[ICLR 2024] The Need for Speed: Pruning Transformers with One Recipe
☆23Updated 4 months ago
Alternatives and similar repositories for optin-transformer-pruning:
Users that are interested in optin-transformer-pruning are comparing it to the libraries listed below
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆55Updated 7 months ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated last year
- Official PyTorch implementation of MaskSub "Masking Augmentation for Supervised Learning"☆34Updated 10 months ago
- Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML'24)☆29Updated 5 months ago
- This project is the official implementation of our “BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models”.☆13Updated 3 months ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated last year
- PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆36Updated 4 months ago
- In progress.☆64Updated 9 months ago
- [ECCV 2024] Isomorphic Pruning for Vision Models☆60Updated 5 months ago
- ☆42Updated last year
- Are gradient information useful for pruning of LLMs?☆41Updated 8 months ago
- BESA is a differentiable weight pruning technique for large language models.☆14Updated 10 months ago
- Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)☆13Updated 6 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆38Updated 9 months ago
- ☆37Updated 11 months ago
- ☆171Updated 3 months ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆37Updated last year
- ☆12Updated 7 months ago
- Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)☆15Updated last month
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆22Updated 10 months ago
- ☆12Updated 3 months ago
- ☆49Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆94Updated 10 months ago
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆92Updated last year
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆35Updated 3 weeks ago
- Structured Pruning Adapters in PyTorch☆16Updated last year
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆69Updated 2 years ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆91Updated 6 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 9 months ago
- [NeurIPS 2024] Search for Efficient LLMs☆12Updated this week