huggingface / optimumLinks
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
☆3,192Updated 3 weeks ago
Alternatives and similar repositories for optimum
Users that are interested in optimum are comparing it to the libraries listed below
Sorting:
- Accessible large language models via k-bit quantization for PyTorch.☆7,801Updated last week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,080Updated 5 months ago
- 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.☆2,371Updated 3 weeks ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,368Updated 4 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,284Updated 6 months ago
- Simple, safe way to store and distribute tensors☆3,537Updated this week
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,348Updated this week
- Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀☆1,688Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆2,971Updated last week
- Transformer related optimization, including BERT, GPT☆6,360Updated last year
- Fast inference engine for Transformer models☆4,179Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,234Updated last year
- PyTorch native quantization and sparsity for training and inference☆2,543Updated last week
- SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, …☆2,543Updated this week
- PyTorch extensions for high performance and large scale training.☆3,387Updated 7 months 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…☆1,585Updated last year
- A pytorch quantization backend for optimum☆1,012Updated 2 weeks ago
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,169Updated last year
- Python bindings for the Transformer models implemented in C/C++ using GGML library.☆1,878Updated last year
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,001Updated 7 months ago
- Sparsity-aware deep learning inference runtime for CPUs☆3,159Updated 6 months ago
- PyTorch native post-training library☆5,608Updated last week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,668Updated last year
- Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.☆2,196Updated last week
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,757Updated 2 weeks ago
- Minimalistic large language model 3D-parallelism training☆2,351Updated 2 weeks ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,348Updated this week
- Large Language Model Text Generation Inference☆10,684Updated 3 weeks ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,874Updated last year
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,696Updated last month