An easy-to-use package for implementing SmoothQuant for LLMs
☆112Apr 7, 2025Updated last year
Alternatives and similar repositories for AutoSmoothQuant
Users that are interested in AutoSmoothQuant are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆162Aug 21, 2025Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Mar 15, 2024Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆350Jul 2, 2024Updated 2 years ago
- [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
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,173Sep 4, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,700Jul 12, 2024Updated 2 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆867Mar 6, 2025Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆101Sep 4, 2024Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆178Nov 26, 2025Updated 11 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆969Nov 26, 2025Updated 11 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆540Nov 26, 2024Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- ☆65Apr 26, 2025Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Dec 4, 2025Updated 10 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- 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
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆437Nov 20, 2025Updated 11 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆436Aug 13, 2024Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆11Dec 13, 2023Updated 2 years ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆97Jul 28, 2025Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆188Apr 24, 2026Updated 6 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆204Sep 2, 2026Updated last month
- offical repo for paper: ROTATED RUNTIME SMOOTH: TRAINING-FREE ACTIVATION SMOOTHER FOR ACCURATE INT4 INFERENCE☆12Oct 1, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Model Compression Toolbox for Large Language Models and Diffusion Models☆802Aug 14, 2025Updated last year
- Fast and memory-efficient exact attention☆23Updated this week
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆753May 14, 2026Updated 5 months ago
- ☆210May 5, 2025Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆186Jul 12, 2024Updated 2 years ago
- ☆140Apr 23, 2024Updated 2 years ago
- Quantized Attention on GPU☆45Nov 22, 2024Updated last year
- SGLang wheels for multiple platforms☆11Oct 13, 2025Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆440Feb 14, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆107Sep 9, 2024Updated 2 years ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,659Jul 17, 2025Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆136Sep 23, 2025Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆40Aug 4, 2023Updated 3 years ago
- ☆92Jan 23, 2025Updated last year
- GPU operators for sparse tensor operations☆37Mar 11, 2024Updated 2 years ago
- Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.☆345Oct 23, 2026Updated last week