Alternatives and similar repositories for optimum-intel:

Users that are interested in optimum-intel are comparing it to the libraries listed below

• huggingface / optimum-habana
  Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
  ☆171Updated this week
• openvinotoolkit / openvino.genai
  Run Generative AI models with simple C++/Python API and using OpenVINO Runtime
  ☆220Updated this week
• intel / neural-speed
  An innovative library for efficient LLM inference via low-bit quantization
  ☆351Updated 5 months ago
• huggingface / optimum-benchmark
  🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…
  ☆286Updated 2 weeks ago
• intel / auto-round
  Advanced Quantization Algorithm for LLMs/VLMs.
  ☆372Updated this week
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆360Updated this week
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆259Updated 2 months ago
• NVIDIA / TensorRT-Model-Optimizer
  TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillati…
  ☆708Updated last week
• microsoft / onnxruntime-genai
  Generative AI extensions for onnxruntime
  ☆615Updated this week
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆729Updated 5 months ago
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆317Updated this week
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆259Updated 4 months ago
• triton-inference-server / onnxruntime_backend
  The Triton backend for the ONNX Runtime.
  ☆138Updated this week
• onnx / optimizer
  Actively maintained ONNX Optimizer
  ☆672Updated 3 weeks ago
• intel / intel-extension-for-pytorch
  A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
  ☆1,740Updated this week
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆326Updated 3 months ago
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆812Updated this week
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆523Updated last week
• huggingface / tgi-gaudi
  Large Language Model Text Generation Inference on Habana Gaudi
  ☆31Updated last week
• andreyanufr / who_what_benchmark
  ☆21Updated 7 months ago
• intel / intel-extension-for-tensorflow
  Intel® Extension for TensorFlow*
  ☆329Updated last month
• Cornell-RelaxML / quip-sharp
  ☆524Updated 3 months ago
• openvinotoolkit / nncf
  Neural Network Compression Framework for enhanced OpenVINO™ inference
  ☆974Updated this week
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆295Updated last year
• huggingface / optimum-quanto
  A pytorch quantization backend for optimum
  ☆883Updated last month
• openvinotoolkit / openvino_tokenizers
  OpenVINO Tokenizers extension
  ☆29Updated this week
• triton-inference-server / tensorrtllm_backend
  The Triton TensorRT-LLM Backend
  ☆779Updated this week
• triton-inference-server / pytriton
  PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
  ☆772Updated last week
• intel / intel-xpu-backend-for-triton
  OpenAI Triton backend for Intel® GPUs
  ☆165Updated this week
• triton-inference-server / tutorials
  This repository contains tutorials and examples for Triton Inference Server
  ☆648Updated this week