intel / neural-compressorLinks
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
☆2,500Updated this week
Alternatives and similar repositories for neural-compressor
Users that are interested in neural-compressor are comparing it to the libraries listed below
Sorting:
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,755Updated this week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,168Updated 11 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,512Updated last year
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform☆1,969Updated this week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,104Updated this week
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,422Updated this week
- A pytorch quantization backend for optimum☆987Updated last month
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,460Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆496Updated this week
- 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…☆1,584Updated last year
- PyTorch native quantization and sparsity for training and inference☆2,384Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,282Updated 2 months ago
- Transformer related optimization, including BERT, GPT☆6,312Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,192Updated last year
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,083Updated this week
- Reference implementations of MLPerf™ inference benchmarks☆1,467Updated last week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,060Updated 3 months ago
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,865Updated last week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,645Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,063Updated last year
- ONNX Optimizer☆757Updated 2 months ago
- The Triton TensorRT-LLM Backend☆891Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,444Updated this week
- Sparsity-aware deep learning inference runtime for CPUs☆3,157Updated 3 months ago
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,564Updated this week
- This repository contains tutorials and examples for Triton Inference Server☆778Updated last week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,681Updated 2 weeks ago
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆414Updated last week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,835Updated last month
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.☆2,126Updated this week