Hsu1023 / DuQuantLinks
[NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
☆177Updated last year
Alternatives and similar repositories for DuQuant
Users that are interested in DuQuant are comparing it to the libraries listed below
Sorting:
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆168Updated last week
- Code Repository of Evaluating Quantized Large Language Models☆137Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆84Updated 8 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆195Updated last week
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆77Updated 4 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆68Updated 8 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆30Updated 8 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated 5 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆139Updated 8 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆29Updated 9 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆63Updated 9 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆71Updated 8 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆61Updated 5 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- ☆52Updated last year
- [ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆48Updated last year
- The Official Implementation of Ada-KV [NeurIPS 2025]☆116Updated last week
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆256Updated 5 months ago
- ☆11Updated 2 years 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
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆73Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆134Updated 4 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- ☆24Updated last year
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆41Updated last year
- Official implementation of the ICLR 2024 paper AffineQuant☆29Updated last year
- AFPQ code implementation☆24Updated 2 years ago
- ☆26Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year