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Model Compression Paper List (Focusing on Quantization, Particularly Zero-Shot Quantization)
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Lossy PNG compressor — pngquant command based on libimagequant library
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Awesome Knowledge Distillation
Sparsity-aware deep learning inference runtime for CPUs
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.