XIANGLONGYAN / PBS2PLinks
PyTorch code for our paper "Progressive Binarization with Semi-Structured Pruning for LLMs"
☆12Updated 2 months ago
Alternatives and similar repositories for PBS2P
Users that are interested in PBS2P are comparing it to the libraries listed below
Sorting:
- [ICCV 2025] QuantCache:Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation☆14Updated 2 months ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆28Updated 4 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆178Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆139Updated 8 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆77Updated 4 months ago
- This repository contains low-bit quantization papers from 2020 to 2025 on top conference.☆78Updated 2 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆109Updated 2 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 5 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆73Updated last year
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆41Updated last year
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆30Updated 8 months ago
- ☆16Updated 6 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆140Updated 2 years ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆85Updated 8 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆68Updated 8 months ago
- ☆15Updated 8 months ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆201Updated 9 months ago
- ☆13Updated 5 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆47Updated last year
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆255Updated 5 months ago
- ☆14Updated 10 months ago
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆102Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆137Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆61Updated 5 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆14Updated 10 months ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆34Updated 2 years ago
- ☆187Updated 10 months ago