A SOTA quantization toolkit for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers|简洁且高效的量化工具包
☆1,592Aug 29, 2026Updated this week
Alternatives and similar repositories for auto-round
Users that are interested in auto-round are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆3,736Updated this week
- LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM…☆1,248Updated this week
- SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, …☆2,706Updated this week
- A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative…☆3,559Updated this week
- An innovative library for efficient LLM inference via low-bit quantization☆352Aug 30, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official implementation of Half-Quadratic Quantization (HQQ)☆955Feb 26, 2026Updated 6 months ago
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,174Oct 8, 2024Updated last year
- ☆119Feb 26, 2026Updated 6 months ago
- REAP: Router-weighted Expert Activation Pruning for SMoE compression☆489Apr 17, 2026Updated 4 months ago
- [ICLR 2026] ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference☆338Aug 19, 2026Updated last week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,136Sep 4, 2024Updated last year
- PyTorch native quantization for training and inference☆2,959Updated this week
- ☆128Mar 18, 2026Updated 5 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,623Jul 17, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- SGLang is a high-performance serving framework for large language models and multimodal models.☆32,679Updated this week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆532Nov 26, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆227Nov 25, 2025Updated 9 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,349May 11, 2025Updated last year
- FlashInfer: Kernel Library for LLM Serving☆6,281Updated this week
- LLM speculative inference server for heterogeneous hardware & consumer GPUs☆2,813Updated this week
- An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs☆1,191Updated this week
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆191Mar 23, 2026Updated 5 months ago
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆681Aug 4, 2026Updated 3 weeks ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆909Nov 26, 2025Updated 9 months ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆743May 14, 2026Updated 3 months ago
- A fast inference library for running LLMs locally on modern consumer-class GPUs☆4,614Mar 4, 2026Updated 5 months ago
- A pytorch quantization backend for optimum☆1,054Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆854Mar 6, 2025Updated last year
- Fast low-bit matmul kernels in Triton☆484Aug 9, 2026Updated 2 weeks ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆200Updated this week
- LMCache: Supercharge Your LLM with the Fastest KV Cache Layer☆11,560Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,070Apr 11, 2025Updated last year
- 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.
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆347Apr 10, 2026Updated 4 months ago
- DFlash: Block Diffusion for Flash Speculative Decoding☆6,008Aug 18, 2026Updated last week
- [ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-t…☆3,685Jan 17, 2026Updated 7 months ago
- Code for the papers: “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling” and “Adaptive Block-Scaled Data Types”☆202Apr 21, 2026Updated 4 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆799Aug 14, 2025Updated last year
- Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.p…☆1,329Feb 26, 2026Updated 6 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆90,389Updated this week