Hsu1023 / DuQuantLinks
[NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
☆178Updated 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☆171Updated last month
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆205Updated last month
- Code Repository of Evaluating Quantized Large Language Models☆136Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆87Updated 9 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆80Updated 5 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆74Updated 10 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆32Updated 9 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆76Updated 6 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆142Updated 5 months ago
- ☆56Updated last year
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆28Updated 5 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆72Updated 9 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆146Updated 9 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆65Updated 6 months ago
- The Official Implementation of Ada-KV [NeurIPS 2025]☆123Updated last month
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆65Updated 11 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆68Updated 2 years ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆84Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆257Updated 5 months ago
- ☆12Updated 2 years ago
- [ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆48Updated last year
- ☆26Updated last year
- 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
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆29Updated 10 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆44Updated last year
- Efficient Mixture of Experts for LLM Paper List☆154Updated 3 months ago
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆184Updated 3 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…☆203Updated 11 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆46Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year