WoosukKwon / retraining-free-pruningLinks
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
☆190Updated 2 years ago
Alternatives and similar repositories for retraining-free-pruning
Users that are interested in retraining-free-pruning are comparing it to the libraries listed below
Sorting:
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆121Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆302Updated 4 months ago
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆252Updated 2 years ago
- This repository contains integer operators on GPUs for PyTorch.☆206Updated last year
- ☆206Updated 3 years ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆88Updated 2 years ago
- [KDD'22] Learned Token Pruning for Transformers☆98Updated 2 years ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆56Updated last year
- A library for researching neural networks compression and acceleration methods.☆139Updated 10 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated last week
- Awesome list for LLM pruning.☆239Updated 6 months ago
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆92Updated last year
- ☆153Updated 2 years ago
- ☆236Updated 2 years ago
- ☆10Updated last year
- ☆209Updated 2 years ago
- ☆42Updated 2 years ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆96Updated 7 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆210Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 10 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆298Updated 4 months ago
- ☆46Updated last year
- ☆20Updated last year
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆196Updated 2 years ago
- ☆330Updated last year
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆109Updated 2 years ago
- ☆223Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆115Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆142Updated last month