flashinfer-ai / flashinfer
FlashInfer: Kernel Library for LLM Serving
☆1,797Updated this week
Alternatives and similar repositories for flashinfer:
Users that are interested in flashinfer are comparing it to the libraries listed below
- A throughput-oriented high-performance serving framework for LLMs☆692Updated 3 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆680Updated 4 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆2,086Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,179Updated 3 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,316Updated 6 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,669Updated last week
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆912Updated 2 weeks ago
- [NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces in…☆874Updated 2 weeks ago
- Tile primitives for speedy kernels☆1,923Updated this week
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆714Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆2,762Updated this week
- Serving multiple LoRA finetuned LLM as one☆1,012Updated 8 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,749Updated this week
- Minimalistic large language model 3D-parallelism training☆1,386Updated this week
- A PyTorch Native LLM Training Framework☆693Updated 3 weeks ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆851Updated this week
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆481Updated 2 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆1,885Updated 2 weeks ago
- Pipeline Parallelism for PyTorch☆736Updated 4 months ago
- veRL: Volcano Engine Reinforcement Learning for LLM☆690Updated this week
- The Triton TensorRT-LLM Backend☆745Updated last week
- Ring attention implementation with flash attention☆645Updated 3 weeks ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆681Updated 2 weeks ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,371Updated 6 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆373Updated 4 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆496Updated this week
- Efficient, Flexible and Portable Structured Generation☆570Updated this week
- Large Language Model (LLM) Systems Paper List☆732Updated this week
- Microsoft Automatic Mixed Precision Library☆549Updated 3 months ago