QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
☆154Aug 21, 2025Updated 6 months ago
Alternatives and similar repositories for QQQ
Users that are interested in QQQ 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☆172Nov 26, 2025Updated 3 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆93Sep 4, 2024Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,025Sep 4, 2024Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆816Mar 6, 2025Updated 11 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆81Jul 28, 2025Updated 7 months ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆29Mar 5, 2025Updated 11 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆111Apr 7, 2025Updated 10 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆759Aug 14, 2025Updated 6 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆485Nov 26, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆211Nov 25, 2025Updated 3 months ago
- An acceleration library that supports arbitrary bit-width combinatorial quantization operations☆240Sep 30, 2024Updated last year
- ☆165Jun 22, 2025Updated 8 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆285Oct 19, 2025Updated 4 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆373Feb 14, 2025Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆336Jul 2, 2024Updated last year
- ☆25Oct 31, 2024Updated last year
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆123Jul 4, 2025Updated 7 months ago
- ☆85Jan 23, 2025Updated last year
- A quantization algorithm for LLM☆148Jun 21, 2024Updated last year
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆388Apr 13, 2025Updated 10 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Oct 21, 2023Updated 2 years ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆433Feb 1, 2026Updated last month
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆358Nov 20, 2025Updated 3 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆277Jul 16, 2025Updated 7 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆321Mar 4, 2025Updated 11 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆117Oct 15, 2025Updated 4 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆120Mar 6, 2024Updated last year
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Apr 2, 2025Updated 11 months ago
- LLM Inference with Microscaling Format☆34Nov 12, 2024Updated last year
- LLM model quantization (compression) toolkit with hw acceleration support for Nvidia CUDA, AMD ROCm, Intel XPU and Intel/AMD/Apple CPU vi…☆1,024Feb 21, 2026Updated last week
- Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.☆18Jul 9, 2024Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Dec 15, 2023Updated 2 years ago
- ☆206May 5, 2025Updated 9 months ago
- Quantized Attention on GPU☆44Nov 22, 2024Updated last year
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,787Updated this week
- ☆65Apr 26, 2025Updated 10 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆402Aug 13, 2024Updated last year
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆680Nov 19, 2025Updated 3 months ago