Reorder-based post-training quantization for large language model
☆199May 17, 2023Updated 2 years ago
Alternatives and similar repositories for RPTQ4LLM
Users that are interested in RPTQ4LLM are comparing it to the libraries listed below
Sorting:
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Oct 21, 2023Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,619Jul 12, 2024Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆713Aug 13, 2024Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆237Sep 29, 2023Updated 2 years ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆890Nov 26, 2025Updated 3 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Mar 4, 2025Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,262Mar 27, 2024Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆397Feb 24, 2024Updated 2 years ago
- GPTQ inference TVM kernel☆40Apr 25, 2024Updated last year
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Jul 21, 2023Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆238Jul 19, 2022Updated 3 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆222Dec 15, 2023Updated 2 years ago
- PB-LLM: Partially Binarized Large Language Models☆156Nov 20, 2023Updated 2 years ago
- ☆553Feb 8, 2026Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆336Jul 2, 2024Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Oct 5, 2022Updated 3 years ago
- ☆160Sep 15, 2023Updated 2 years ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Apr 2, 2025Updated 11 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆358Nov 20, 2025Updated 3 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,453Jul 17, 2025Updated 7 months ago
- ☆79Jul 21, 2022Updated 3 years ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆872Aug 20, 2024Updated last year
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆141Apr 1, 2023Updated 2 years ago
- Repository for CPU Kernel Generation for LLM Inference☆28Jul 13, 2023Updated 2 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Mar 11, 2024Updated last year
- GPTQ inference Triton kernel☆321May 18, 2023Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Jul 11, 2023Updated 2 years ago
- ☆157Jun 22, 2023Updated 2 years ago
- 4 bits quantization of LLaMA using GPTQ☆3,074Jul 13, 2024Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆405Aug 13, 2024Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆487Nov 26, 2024Updated last year
- A simple and effective LLM pruning approach.☆852Aug 9, 2024Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆180Oct 3, 2024Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Mar 12, 2024Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Nov 26, 2025Updated 3 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆328Nov 26, 2025Updated 3 months ago
- ☆19Dec 10, 2021Updated 4 years ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆133May 16, 2024Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆761Aug 14, 2025Updated 6 months ago