Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
☆321Mar 4, 2025Updated last year
Alternatives and similar repositories for LLM-QAT
Users that are interested in LLM-QAT are comparing it to the libraries listed below
Sorting:
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Nov 26, 2025Updated 3 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆889Nov 26, 2025Updated 3 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆712Aug 13, 2024Updated last year
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,612Jul 12, 2024Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Oct 21, 2023Updated 2 years ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆327Nov 26, 2025Updated 3 months ago
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Jul 21, 2023Updated 2 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆69Mar 7, 2024Updated last year
- ☆52Nov 5, 2024Updated last year
- GPTQ inference Triton kernel☆321May 18, 2023Updated 2 years ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,261Mar 27, 2024Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆134May 16, 2024Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆117Oct 15, 2025Updated 4 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆402Aug 13, 2024Updated last year
- PB-LLM: Partially Binarized Large Language Models☆156Nov 20, 2023Updated 2 years ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆154Aug 21, 2025Updated 6 months ago
- ☆169Mar 9, 2023Updated 2 years ago
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆184Apr 16, 2024Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Dec 15, 2023Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆336Jul 2, 2024Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,443Jul 17, 2025Updated 7 months ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆37Aug 20, 2024Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆397Feb 24, 2024Updated 2 years ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆277Jul 16, 2025Updated 7 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆485Nov 26, 2024Updated last year
- Official PyTorch implementation of QA-LoRA☆145Mar 13, 2024Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆358Nov 20, 2025Updated 3 months ago
- ☆235Jun 11, 2024Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆373Feb 14, 2025Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆816Mar 6, 2025Updated 11 months ago
- ACL 2023☆39Jun 6, 2023Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆48Sep 27, 2024Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆237Sep 29, 2023Updated 2 years ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆680Nov 19, 2025Updated 3 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,025Sep 4, 2024Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆136Sep 8, 2024Updated last year
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago