huggingface / optimumLinks
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
☆2,977Updated this week
Alternatives and similar repositories for optimum
Users that are interested in optimum are comparing it to the libraries listed below
Sorting:
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,031Updated 2 weeks ago
- Accessible large language models via k-bit quantization for PyTorch.☆7,212Updated last week
- Simple, safe way to store and distribute tensors☆3,345Updated last week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,140Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,548Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,206Updated 2 months ago
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,449Updated last week
- Transformer related optimization, including BERT, GPT☆6,238Updated last year
- Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀☆1,688Updated 8 months ago
- 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.☆2,259Updated this week
- Fast inference engine for Transformer models☆3,902Updated 3 months ago
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆8,914Updated last week
- PyTorch native quantization and sparsity for training and inference☆2,168Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,139Updated last year
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,167Updated 9 months ago
- A pytorch quantization backend for optimum☆962Updated last 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…☆1,575Updated last year
- PyTorch extensions for high performance and large scale training.☆3,337Updated 2 months ago
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,891Updated 3 months ago
- Sparsity-aware deep learning inference runtime for CPUs☆3,157Updated last month
- Python bindings for the Transformer models implemented in C/C++ using GGML library.☆1,868Updated last year
- ☆2,839Updated last month
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆3,274Updated last month
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,843Updated last year
- Large Language Model Text Generation Inference☆10,311Updated last week
- Minimalistic large language model 3D-parallelism training☆2,012Updated this week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,655Updated 3 months ago
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆806Updated 2 weeks ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,616Updated this week
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,473Updated this week