neuralmagic / deepsparseLinks
Sparsity-aware deep learning inference runtime for CPUs
☆3,155Updated 4 months ago
Alternatives and similar repositories for deepsparse
Users that are interested in deepsparse are comparing it to the libraries listed below
Sorting:
- Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models☆2,145Updated 4 months ago
- Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes☆389Updated 4 months ago
- Top-level directory for documentation and general content☆120Updated 4 months ago
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,517Updated this week
- ML model optimization product to accelerate inference.☆324Updated 4 months ago
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,164Updated last year
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,130Updated this week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,688Updated last month
- 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…☆1,586Updated last year
- Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀☆1,690Updated last year
- Python bindings for the Transformer models implemented in C/C++ using GGML library.☆1,876Updated last year
- PyTorch native quantization and sparsity for training and inference☆2,464Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,070Updated 3 months ago
- PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wri…☆1,420Updated this week
- PyTorch extensions for high performance and large scale training.☆3,384Updated 6 months ago
- ☆1,007Updated 8 months ago
- Accessible large language models via k-bit quantization for PyTorch.☆7,687Updated last week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,318Updated 3 months ago
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆823Updated 2 months ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,064Updated last year
- A pytorch quantization backend for optimum☆999Updated last week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,860Updated this week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,864Updated last year
- Inference Llama 2 in one file of pure 🔥☆2,119Updated 2 weeks ago
- Transformer related optimization, including BERT, GPT☆6,331Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,209Updated last year
- ☆1,028Updated last year
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,633Updated this week
- Cramming the training of a (BERT-type) language model into limited compute.☆1,349Updated last year
- The simplest way to serve AI/ML models in production☆1,079Updated this week