DZY122 / DiTASLinks
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing (WACV 2025)
☆10Updated 8 months ago
Alternatives and similar repositories for DiTAS
Users that are interested in DiTAS are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆32Updated 9 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆109Updated 4 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆72Updated 4 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆26Updated 5 months ago
- A sparse attention kernel supporting mix sparse patterns☆267Updated 5 months ago
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 11 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆56Updated 2 weeks ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆151Updated 3 weeks ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆52Updated last month
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆36Updated 4 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆50Updated 4 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆215Updated last month
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆186Updated 6 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated last month
- Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"☆331Updated last week
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆48Updated 5 months ago
- [ICCV'25] The official code implementation of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Langua…☆51Updated last week
- ☆51Updated last year
- Efficient 2:4 sparse training algorithms and implementations☆56Updated 8 months ago
- 📚 Collection of awesome generation acceleration resources.☆306Updated last month
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆15Updated 11 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆123Updated 2 years ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆23Updated 4 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆57Updated 2 years ago
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆13Updated 6 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆221Updated last month
- ☆171Updated 6 months ago
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆26Updated 4 months ago