intel / neural-compressorLinks
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
☆2,472Updated last week
Alternatives and similar repositories for neural-compressor
Users that are interested in neural-compressor are comparing it to the libraries listed below
Sorting:
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,168Updated 10 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,645Updated this week
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,120Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,472Updated last year
- Reference implementations of MLPerf™ inference benchmarks☆1,441Updated last week
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform☆1,936Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,251Updated this week
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,427Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,057Updated last year
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆482Updated this week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,023Updated this week
- A pytorch quantization backend for optimum☆984Updated last month
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,612Updated last week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,841Updated this week
- Neural Network Compression Framework for enhanced OpenVINO™ inference☆1,074Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,163Updated last year
- ONNX Optimizer☆742Updated 2 weeks ago
- 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…☆1,581Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,046Updated last month
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,819Updated 2 weeks ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,207Updated last month
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆407Updated last week
- Transformer related optimization, including BERT, GPT☆6,274Updated last year
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.☆2,054Updated this week
- FlashInfer: Kernel Library for LLM Serving☆3,571Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,426Updated this week
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆816Updated last week
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆899Updated last week
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆370Updated this week
- The Triton TensorRT-LLM Backend☆881Updated this week