QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
☆160Aug 21, 2025Updated last year
Alternatives and similar repositories for QQQ
Users that are interested in QQQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆178Nov 26, 2025Updated 9 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆861Mar 6, 2025Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆101Sep 4, 2024Updated 2 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,149Sep 4, 2024Updated 2 years ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆112Apr 7, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆30Mar 5, 2025Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆533Nov 26, 2024Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆95Jul 28, 2025Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆228Nov 25, 2025Updated 9 months ago
- Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.☆18Jul 6, 2026Updated 2 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆802Aug 14, 2025Updated last year
- ☆92Jan 23, 2025Updated last year
- ☆25Oct 31, 2024Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆348Jul 2, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆430Feb 14, 2025Updated last year
- An acceleration library that supports arbitrary bit-width combinatorial quantization operations☆249Sep 30, 2024Updated last year
- Pytorch implementation of our paper SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration accepted by NeurIPS …☆22Mar 12, 2024Updated 2 years ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆134Oct 15, 2025Updated 11 months ago
- ☆190Jun 22, 2025Updated last year
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆395Apr 13, 2025Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆281Jul 16, 2025Updated last year
- A quantization algorithm for LLM☆153Jun 21, 2024Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆328Mar 4, 2025Updated last year
- ☆65Apr 26, 2025Updated last year
- Code for the papers: “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling” and “Adaptive Block-Scaled Data Types”☆203Apr 21, 2026Updated 4 months ago
- Code for data-aware compression of DeepSeek models☆75Dec 11, 2025Updated 9 months ago
- ☆55Nov 5, 2024Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆433Nov 20, 2025Updated 9 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆123Mar 6, 2024Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆134Jul 4, 2025Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆435Aug 13, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Quantized Attention on GPU☆45Nov 22, 2024Updated last year
- ☆210May 5, 2025Updated last year
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆485Aug 9, 2026Updated last month
- The official implementation of the EMNLP 2023 paper LLM-FP4☆226Dec 15, 2023Updated 2 years ago
- ☆123May 16, 2025Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆349Mar 10, 2026Updated 6 months ago