The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
☆49Oct 5, 2022Updated 3 years ago
Alternatives and similar repositories for outlier_suppression
Users that are interested in outlier_suppression are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆51Oct 21, 2023Updated 2 years ago
- DeiT implementation for Q-ViT☆25Apr 21, 2025Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆61Mar 23, 2023Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆130Sep 23, 2025Updated 7 months ago
- Pytorch implementation of BRECQ, ICLR 2021☆298Aug 1, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Quantization in the Jagged Loss Landscape of Vision Transformers☆13Oct 22, 2023Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 6 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆16Sep 13, 2022Updated 3 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- 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 2 years ago
- ☆17Oct 25, 2022Updated 3 years ago
- ☆172Mar 9, 2023Updated 3 years ago
- This repository contains integer operators on GPUs for PyTorch.☆236Sep 29, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆361Apr 11, 2023Updated 3 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity☆22Jan 13, 2023Updated 3 years ago
- ☆120Nov 17, 2023Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆397Feb 24, 2024Updated 2 years ago
- Reorder-based post-training quantization for large language model☆199May 17, 2023Updated 2 years ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆137May 16, 2024Updated last year
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆268Jan 29, 2023Updated 3 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆37Mar 2, 2022Updated 4 years ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆25Mar 29, 2024Updated 2 years 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.
- LLM Inference with Microscaling Format☆34Nov 12, 2024Updated last year
- Post-Training Quantization for Vision transformers.☆242Jul 19, 2022Updated 3 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆181Apr 24, 2026Updated 2 weeks ago
- This is a repository of Binary General Matrix Multiply (BGEMM) by customized CUDA kernel. Thank FP6-LLM for the wheels!☆20Aug 30, 2024Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 4 years ago
- Faster Pytorch bitsandbytes 4bit fp4 nn.Linear ops☆30Mar 16, 2024Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,646Jul 12, 2024Updated last year
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Nov 25, 2021Updated 4 years ago
- [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design☆131Jun 27, 2023Updated 2 years ago
- 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.
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆171Nov 26, 2025Updated 5 months ago
- ☆58Dec 8, 2020Updated 5 years ago
- Model Quantization Benchmark☆865Apr 20, 2025Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆506Nov 26, 2024Updated last year
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆314May 8, 2024Updated 2 years ago
- ☆36Mar 29, 2023Updated 3 years ago
- [ICCV 2025] Task-Specific Zero-shot Quantization-Aware Training for Object Detection☆25Sep 26, 2025Updated 7 months ago