wimh966 / outlier_suppression
The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
☆47Updated 2 years ago
Alternatives and similar repositories for outlier_suppression:
Users that are interested in outlier_suppression are comparing it to the libraries listed below
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- LLM Inference with Microscaling Format☆22Updated 5 months ago
- ☆55Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆60Updated last year
- ☆20Updated 6 months ago
- AFPQ code implementation☆20Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆122Updated 7 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆47Updated 3 weeks ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- ☆29Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 7 months ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆49Updated last year
- DeiT implementation for Q-ViT☆24Updated 2 weeks ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆18Updated 2 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆49Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆131Updated 3 months ago
- Code implementation of GPTQv2 (https://arxiv.org/abs/2504.02692)☆36Updated 2 weeks ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆111Updated 11 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆118Updated last year
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated last year
- ☆27Updated 9 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- Code for ICML 2021 submission☆34Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆88Updated last year
- ☆10Updated last year
- ☆21Updated 5 months ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆28Updated 4 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆36Updated last year