pytorch / aoLinks
PyTorch native quantization and sparsity for training and inference
☆2,611Updated this week
Alternatives and similar repositories for ao
Users that are interested in ao are comparing it to the libraries listed below
Sorting:
- A PyTorch native platform for training generative AI models☆4,947Updated this week
- A pytorch quantization backend for optimum☆1,020Updated last month
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,055Updated this week
- Tile primitives for speedy kernels☆3,038Updated this week
- PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wri…☆1,434Updated this week
- A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresse…☆1,770Updated this week
- Minimalistic large language model 3D-parallelism training☆2,407Updated last month
- Puzzles for learning Triton☆2,222Updated last year
- FlashInfer: Kernel Library for LLM Serving☆4,438Updated this week
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,553Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,065Updated this week
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,939Updated 4 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,410Updated 5 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆905Updated 3 weeks ago
- Helpful tools and examples for working with flex-attention☆1,105Updated this week
- GPU programming related news and material links☆1,886Updated 3 months ago
- 🚀 Efficient implementations of state-of-the-art linear attention models☆4,209Updated this week
- Pipeline Parallelism for PyTorch☆783Updated last year
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆592Updated 4 months ago
- SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, …☆2,565Updated this week
- Efficient Triton Kernels for LLM Training☆6,030Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆978Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆936Updated 2 months ago
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,237Updated 3 weeks ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,040Updated last year
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,637Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,580Updated last year
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,071Updated last year
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,300Updated 8 months ago
- Schedule-Free Optimization in PyTorch☆2,244Updated 7 months ago