intel / neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
☆2,369Updated this week
Alternatives and similar repositories for neural-compressor:
Users that are interested in neural-compressor are comparing it to the libraries listed below
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,168Updated 6 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,355Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,387Updated 9 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,077Updated last year
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform☆1,825Updated last week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,038Updated 11 months ago
- PyTorch native quantization and sparsity for training and inference☆1,954Updated this week
- Transformer related optimization, including BERT, GPT☆6,123Updated last year
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,564Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,002Updated 3 weeks ago
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,491Updated this week
- nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculat…☆860Updated 2 weeks ago
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆2,845Updated this week
- ONNX Optimizer☆690Updated 2 weeks ago
- An open-source efficient deep learning framework/compiler, written in python.☆698Updated last month
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,783Updated last week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆457Updated this week
- FlashInfer: Kernel Library for LLM Serving☆2,659Updated this week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,725Updated this week
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆840Updated this week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,627Updated 2 weeks ago
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆998Updated this week
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,273Updated this week
- Reference implementations of MLPerf™ inference benchmarks☆1,351Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,922Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,293Updated this week
- PyTorch extensions for high performance and large scale training.☆3,298Updated last week
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆981Updated 6 months ago
- A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.☆1,467Updated last month
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,087Updated this week