LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
☆1,270Oct 8, 2026Updated this week
Alternatives and similar repositories for GPTQModel
Users that are interested in GPTQModel are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- State-of-the-art LLM compression, built for production inference with vLLM☆3,859Updated this week
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆96Jul 28, 2025Updated last year
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,065Apr 11, 2025Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆534Nov 26, 2024Updated last year
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,346May 11, 2025Updated 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.
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆750May 14, 2026Updated 4 months ago
- A simple and effective post training quantization toolkit for high-accuracy low-bit LLM inference|简洁且高效的后训练量化工具包☆1,629Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,649Jul 17, 2025Updated last year
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆352Apr 10, 2026Updated 5 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆160Aug 21, 2025Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆178Nov 26, 2025Updated 10 months ago
- A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative…☆5,243Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,153Sep 4, 2024Updated 2 years ago
- Evalution: evolve your LLMs with better evals.☆16Sep 26, 2026Updated last week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆434Feb 14, 2025Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,382Mar 27, 2024Updated 2 years ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆228Nov 25, 2025Updated 10 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆350Mar 10, 2026Updated 6 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆135Oct 15, 2025Updated 11 months ago
- FlashInfer: Kernel Library for LLM Serving☆6,556Updated this week
- Awesome list for LLM quantization☆453Apr 20, 2026Updated 5 months ago
- Code for data-aware compression of DeepSeek models☆75Dec 11, 2025Updated 9 months ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆36,875Updated this week
- 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.
- [ICLRW'26] EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation☆50Apr 21, 2026Updated 5 months ago
- ☆194Jun 22, 2025Updated last year
- [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
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆681Aug 4, 2026Updated 2 months ago
- (AAAI 2026) First-Order Error Matters: Accurate Compensation for Quantized Large Language Models☆17Apr 16, 2026Updated 5 months ago
- PyTorch native quantization for training and inference☆2,995Updated this week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆958Nov 26, 2025Updated 10 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆329Updated 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…☆14,777Updated this week
- 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.
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆771Aug 6, 2025Updated last year
- A framework for few-shot evaluation of language models.☆14,157Sep 14, 2026Updated 3 weeks ago
- An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs☆1,618Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆93,397Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,548Feb 20, 2026Updated 7 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,695Jul 12, 2024Updated 2 years ago
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆57Apr 13, 2026Updated 5 months ago