[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
☆1,695Jul 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☆3,649Jul 17, 2025Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆236Sep 29, 2023Updated 3 years ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,384Mar 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…☆862Mar 6, 2025Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated 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.
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆959Nov 26, 2025Updated 10 months ago
- Reorder-based post-training quantization for large language model☆201May 17, 2023Updated 3 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆348Jul 2, 2024Updated 2 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,157Sep 4, 2024Updated 2 years ago
- Transformer related optimization, including BERT, GPT☆6,454Mar 27, 2024Updated 2 years ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆534Nov 26, 2024Updated last year
- Accessible large language models via k-bit quantization for PyTorch.☆8,514Sep 7, 2026Updated last month
- 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 curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and ge…☆2,453Updated this week
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,065Apr 11, 2025Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆436Aug 13, 2024Updated 2 years ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆900Aug 20, 2024Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆329Mar 4, 2025Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆401Feb 24, 2024Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆178Nov 26, 2025Updated 10 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,770Jun 25, 2024Updated 2 years ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆434Nov 20, 2025Updated 10 months ago
- Awesome LLM compression research papers and tools.☆1,883Aug 27, 2026Updated last month
- 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.
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,346May 11, 2025Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆434Feb 14, 2025Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆228Nov 25, 2025Updated 10 months ago
- FlashInfer: Kernel Library for LLM Serving☆6,578Updated this week
- Model Compression Toolbox for Large Language Models and Diffusion Models☆801Aug 14, 2025Updated last year
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆14,780Updated this week
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆7,266Jul 11, 2024Updated 2 years ago
- ☆173Mar 9, 2023Updated 3 years ago
- Post-Training Quantization for Vision transformers.☆245Jul 19, 2022Updated 4 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.
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆381Mar 21, 2024Updated 2 years ago
- Fast and memory-efficient exact attention☆25,107Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,318Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,571Updated this week
- 4 bits quantization of LLaMA using GPTQ☆3,070Jul 13, 2024Updated 2 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆363Apr 11, 2023Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆302Aug 1, 2021Updated 5 years ago