huggingface / optimum-quantoView external linksLinks
A pytorch quantization backend for optimum
☆1,023Nov 21, 2025Updated 2 months ago
Alternatives and similar repositories for optimum-quanto
Users that are interested in optimum-quanto are comparing it to the libraries listed below
Sorting:
- PyTorch native quantization and sparsity for training and inference☆2,668Updated this week
- Official implementation of Half-Quadratic Quantization (HQQ)☆913Dec 18, 2025Updated last month
- Accessible large language models via k-bit quantization for PyTorch.☆7,939Jan 22, 2026Updated 3 weeks ago
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,279Jan 15, 2026Updated 3 weeks ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆753Aug 14, 2025Updated 6 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,436Jul 17, 2025Updated 6 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,314May 11, 2025Updated 9 months ago
- SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, …☆2,581Feb 5, 2026Updated last week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,028Apr 11, 2025Updated 10 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,011Sep 4, 2024Updated last year
- Faster generation with text-to-image diffusion models.☆230Jun 28, 2025Updated 7 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆812Mar 6, 2025Updated 11 months ago
- A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresse…☆1,964Updated this week
- PyTorch native post-training library☆5,669Updated this week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆887Nov 26, 2025Updated 2 months ago
- Easy and Efficient Quantization for Transformers☆205Jan 28, 2026Updated 2 weeks ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,607Jul 12, 2024Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆244Updated this week
- Fast and memory-efficient exact attention☆22,231Updated this week
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆2,293Jan 21, 2026Updated 3 weeks ago
- Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.p…☆1,315Aug 8, 2025Updated 6 months ago
- Large Language Model Text Generation Inference☆10,757Jan 8, 2026Updated last month
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,705Feb 6, 2026Updated last week
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Apr 2, 2025Updated 10 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆336Jul 2, 2024Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆404Aug 13, 2024Updated last year
- Simple, safe way to store and distribute tensors☆3,619Feb 4, 2026Updated last week
- End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).☆393Jan 8, 2026Updated last month
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,491Feb 6, 2026Updated last week
- Minimalistic large language model 3D-parallelism training☆2,544Dec 11, 2025Updated 2 months ago
- 🎯An accuracy-first, highly efficient quantization toolkit for LLMs, designed to minimize quality degradation across Weight-Only Quantiza…☆845Feb 6, 2026Updated last week
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆10,336Feb 5, 2026Updated last week
- https://wavespeed.ai/ Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.☆1,299Mar 27, 2025Updated 10 months ago
- FlashInfer: Kernel Library for LLM Serving☆4,935Updated this week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,619Updated this week
- This repository contains the experimental PyTorch native float8 training UX☆226Aug 1, 2024Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆482Nov 26, 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…☆12,867Updated this week
- PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wri…☆1,440Feb 3, 2026Updated last week