Efficient-ML / Awesome-Efficient-LLM-Diffusion
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
☆166Updated 2 months ago
Alternatives and similar repositories for Awesome-Efficient-LLM-Diffusion:
Users that are interested in Awesome-Efficient-LLM-Diffusion are comparing it to the libraries listed below
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆138Updated 3 months ago
- Awesome list for LLM pruning.☆195Updated last month
- Code Repository of Evaluating Quantized Large Language Models☆114Updated 4 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆41Updated this week
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆60Updated 5 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆126Updated last year
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆19Updated 2 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆115Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆54Updated 10 months ago
- This repository contains integer operators on GPUs for PyTorch.☆190Updated last year
- Awesome list for LLM quantization☆160Updated last month
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆61Updated last month
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆109Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆55Updated 7 months ago
- Post-Training Quantization for Vision transformers.☆201Updated 2 years ago
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆142Updated 5 months ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆36Updated last week
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆93Updated 10 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- List of papers related to neural network quantization in recent AI conferences and journals.☆514Updated last month
- ☆210Updated 5 months ago
- An algorithm for static activation quantization of LLMs☆112Updated 2 weeks ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 9 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆72Updated 7 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆86Updated last year
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆95Updated last week
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆181Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆266Updated 4 months ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆85Updated last year
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆320Updated last year