[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
☆899Nov 26, 2025Updated 7 months ago
Alternatives and similar repositories for OmniQuant
Users that are interested in OmniQuant are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆175Nov 26, 2025Updated 7 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆517Nov 26, 2024Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆185Apr 24, 2026Updated 2 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆722Aug 13, 2024Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆342Jul 2, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,327Mar 27, 2024Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,662Jul 12, 2024Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,578Jul 17, 2025Updated 11 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆344Apr 10, 2026Updated 2 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆235Jan 11, 2025Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆406Feb 14, 2025Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆411Nov 20, 2025Updated 7 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆221Nov 25, 2025Updated 7 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆326Mar 4, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 3 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆844Mar 6, 2025Updated last year
- ☆553Feb 8, 2026Updated 4 months ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆728May 14, 2026Updated last month
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆429Aug 13, 2024Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆52Oct 21, 2023Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆398Feb 24, 2024Updated 2 years ago
- ☆599Oct 29, 2024Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆788Aug 14, 2025Updated 10 months ago
- 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.
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,095Sep 4, 2024Updated last year
- PB-LLM: Partially Binarized Large Language Models☆157Nov 20, 2023Updated 2 years ago
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆185Apr 16, 2024Updated 2 years ago
- A simple and effective LLM pruning approach.☆866Aug 9, 2024Updated last year
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,072Apr 11, 2025Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆139May 16, 2024Updated 2 years ago
- Official implementation of the ICLR 2024 paper AffineQuant☆30Mar 30, 2024Updated 2 years ago
- ☆233Jun 11, 2024Updated 2 years ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆945Feb 26, 2026Updated 4 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆680Apr 25, 2025Updated last year
- Awesome LLM compression research papers and tools.☆1,848Feb 23, 2026Updated 4 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆72Mar 7, 2024Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆225Dec 15, 2023Updated 2 years ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,349May 11, 2025Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆886Aug 20, 2024Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆111Apr 7, 2025Updated last year