[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
☆1,670Jul 12, 2024Updated 2 years ago
Alternatives and similar repositories for smoothquant
Users that are interested in smoothquant are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,592Jul 17, 2025Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆235Sep 29, 2023Updated 2 years ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,334Mar 27, 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…☆850Mar 6, 2025Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆722Aug 13, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆901Nov 26, 2025Updated 7 months ago
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 3 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,109Sep 4, 2024Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆343Jul 2, 2024Updated 2 years ago
- Transformer related optimization, including BERT, GPT☆6,442Mar 27, 2024Updated 2 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆523Nov 26, 2024Updated last year
- Accessible large language models via k-bit quantization for PyTorch.☆8,333Updated this week
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 2 years ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,406Jul 10, 2026Updated last week
- 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.
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,073Apr 11, 2025Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆431Aug 13, 2024Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆889Aug 20, 2024Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆325Mar 4, 2025Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆399Feb 24, 2024Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆176Nov 26, 2025Updated 7 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,757Jun 25, 2024Updated 2 years ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆418Nov 20, 2025Updated 8 months ago
- Awesome LLM compression research papers and tools.☆1,853Jun 30, 2026Updated 3 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,350May 11, 2025Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆794Aug 14, 2025Updated 11 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆223Nov 25, 2025Updated 7 months ago
- FlashInfer: Kernel Library for LLM Serving☆5,988Updated this week
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆14,162Updated this week
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆7,248Jul 11, 2024Updated 2 years ago
- ☆172Mar 9, 2023Updated 3 years ago
- Post-Training Quantization for Vision transformers.☆242Jul 19, 2022Updated 4 years ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆377Mar 21, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Fast and memory-efficient exact attention☆24,497Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,183Updated this week
- 4 bits quantization of LLaMA using GPTQ☆3,071Jul 13, 2024Updated 2 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆359Apr 11, 2023Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆300Aug 1, 2021Updated 4 years ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆415Feb 14, 2025Updated last year
- GPTQ inference Triton kernel☆323May 18, 2023Updated 3 years ago