[TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision"
☆49Sep 27, 2024Updated last year
Alternatives and similar repositories for Quantization-Variation
Users that are interested in Quantization-Variation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Dec 6, 2023Updated 2 years ago
- ☆34Mar 28, 2025Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆38Aug 20, 2024Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆40Sep 24, 2024Updated last year
- 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.
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- [ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers☆144Jan 10, 2024Updated 2 years ago
- AFPQ code implementation☆23Nov 6, 2023Updated 2 years ago
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Oct 22, 2023Updated 2 years ago
- The official implementation of the DAC 2024 paper GQA-LUT☆23Dec 20, 2024Updated last year
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆359Apr 11, 2023Updated 3 years ago
- ☆12Aug 26, 2022Updated 3 years ago
- The official implementation of the AAAI 2024 paper Bi-ViT.☆13Dec 18, 2023Updated 2 years ago
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆21Jan 24, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆27Mar 13, 2024Updated 2 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 4 years ago
- Finetuning LLaMA with DeepSpeed☆10Apr 14, 2023Updated 3 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Oct 31, 2020Updated 5 years ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆92Jul 28, 2025Updated 11 months ago
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Jul 10, 2023Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- [ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference☆207Sep 2, 2024Updated last year
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆29Dec 6, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- ☆19Mar 14, 2023Updated 3 years ago
- This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.☆31Nov 14, 2022Updated 3 years ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆139May 16, 2024Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆326Mar 4, 2025Updated 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
- ☆36Mar 29, 2023Updated 3 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Dec 18, 2019Updated 6 years ago
- [ICML 2026]A framework to compare low-bit integer and float-point formats☆79May 6, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Mar 4, 2024Updated 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 4 years ago
- ☆82Jul 21, 2022Updated 3 years ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆77Nov 21, 2023Updated 2 years ago
- ☆38Sep 3, 2023Updated 2 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆314May 8, 2024Updated 2 years ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆40May 4, 2026Updated last month