SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
☆2,683Jul 17, 2026Updated this week
Alternatives and similar repositories for neural-compressor
Users that are interested in neural-compressor are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,177Oct 8, 2024Updated last year
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform☆2,014Mar 30, 2026Updated 3 months ago
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,180Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,669Jul 12, 2024Updated 2 years ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,333Mar 27, 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.
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,663Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆8,333Updated this week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,446Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,591Jul 17, 2025Updated last year
- ☆172Mar 9, 2023Updated 3 years ago
- Transformer related optimization, including BERT, GPT☆6,439Mar 27, 2024Updated 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
- An innovative library for efficient LLM inference via low-bit quantization☆352Aug 30, 2024Updated last year
- A pytorch quantization backend for optimum☆1,046Updated this week
- 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.
- Model compression for ONNX☆101May 1, 2026Updated 2 months ago
- A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support…☆1,527Updated this week
- oneAPI Deep Neural Network Library (oneDNN)☆4,022Updated this week
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆190Mar 23, 2026Updated 3 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆901Nov 26, 2025Updated 7 months ago
- PyTorch native quantization and sparsity for training and inference☆2,906Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆606Updated this week
- Sparsity-aware deep learning inference runtime for CPUs☆3,159Jun 2, 2025Updated last year
- [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
- 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.
- Development repository for the Triton language and compiler☆19,725Updated this week
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,806Mar 28, 2024Updated 2 years ago
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆13,164Jul 7, 2026Updated last week
- Model Quantization Benchmark☆872Apr 20, 2025Updated last year
- Fast and memory-efficient exact attention☆24,489Updated this week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,725Updated this week
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆722Aug 13, 2024Updated last year
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,073Apr 11, 2025Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,434Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆14,158Updated this week
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…☆731Feb 11, 2026Updated 5 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆3,561Updated this week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆42,747Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,350May 11, 2025Updated last year
- [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.☆3,327Sep 7, 2025Updated 10 months ago