flashinfer-ai / flashinferLinks
FlashInfer: Kernel Library for LLM Serving
☆3,829Updated this week
Alternatives and similar repositories for flashinfer
Users that are interested in flashinfer are comparing it to the libraries listed below
Sorting:
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,793Updated this week
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,019Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆1,842Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,755Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,039Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,626Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,282Updated 2 months ago
- Tile primitives for speedy kernels☆2,734Updated last week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,133Updated last month
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,422Updated this week
- Distributed Compiler based on Triton for Parallel Systems☆1,148Updated last week
- A throughput-oriented high-performance serving framework for LLMs☆893Updated 2 weeks ago
- Fast, Flexible and Portable Structured Generation☆1,280Updated last week
- Puzzles for learning Triton☆2,008Updated 10 months ago
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆4,565Updated last month
- My learning notes/codes for ML SYS.☆3,775Updated this week
- A PyTorch Native LLM Training Framework☆874Updated 2 weeks ago
- PyTorch native quantization and sparsity for training and inference☆2,384Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,253Updated 4 months ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆1,856Updated last week
- Minimalistic large language model 3D-parallelism training☆2,239Updated 3 weeks ago
- The Triton TensorRT-LLM Backend☆891Updated this week
- LLM model quantization (compression) toolkit with hw acceleration support for Nvidia CUDA, AMD ROCm, Intel XPU and Intel/AMD/Apple CPU vi…☆806Updated this week
- 🚀 Efficient implementations of state-of-the-art linear attention models☆3,404Updated last week
- slime is an LLM post-training framework for RL Scaling.☆1,915Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,512Updated last year
- vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization☆1,815Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆902Updated last year
- A Datacenter Scale Distributed Inference Serving Framework☆5,202Updated this week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,835Updated last month