flashinfer-ai / flashinferLinks
FlashInfer: Kernel Library for LLM Serving
☆3,571Updated this week
Alternatives and similar repositories for flashinfer
Users that are interested in flashinfer are comparing it to the libraries listed below
Sorting:
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,207Updated last month
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,817Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,645Updated last week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,510Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,480Updated last week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,530Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆3,768Updated last week
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆1,688Updated this week
- Tile primitives for speedy kernels☆2,579Updated 2 weeks ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,072Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,227Updated 3 months ago
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆4,410Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆872Updated last week
- Distributed Compiler based on Triton for Parallel Systems☆1,031Updated last week
- My learning notes/codes for ML SYS.☆3,315Updated last week
- Minimalistic large language model 3D-parallelism training☆2,130Updated last month
- Fast, Flexible and Portable Structured Generation☆1,172Updated last week
- PyTorch native quantization and sparsity for training and inference☆2,251Updated this week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,472Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,819Updated 2 weeks ago
- A PyTorch Native LLM Training Framework☆861Updated last month
- The Triton TensorRT-LLM Backend☆881Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,046Updated last month
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,105Updated last week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆880Updated 11 months ago
- vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization☆1,698Updated this week
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,120Updated this week
- 🚀 Efficient implementations of state-of-the-art linear attention models☆3,045Updated this week
- Materials for learning SGLang☆530Updated last month
- A Datacenter Scale Distributed Inference Serving Framework☆4,786Updated this week