mlc-ai / xgrammarView external linksLinks
Fast, Flexible and Portable Structured Generation
☆1,548Updated this week
Alternatives and similar repositories for xgrammar
Users that are interested in xgrammar are comparing it to the libraries listed below
Sorting:
- FlashInfer: Kernel Library for LLM Serving☆4,935Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆23,439Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆945Oct 29, 2025Updated 3 months ago
- Super-fast Structured Outputs☆688Updated this week
- Serving multiple LoRA finetuned LLM as one☆1,139May 8, 2024Updated last year
- Structured Outputs☆13,403Feb 6, 2026Updated last week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,701Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆7,606Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,011Sep 4, 2024Updated last year
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,120Jan 29, 2026Updated 2 weeks ago
- Enforce the output format (JSON Schema, Regex etc) of a language model☆1,990Aug 24, 2025Updated 5 months ago
- verl: Volcano Engine Reinforcement Learning for LLMs☆19,132Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,888Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆458May 30, 2025Updated 8 months ago
- ☆97Mar 26, 2025Updated 10 months ago
- A Datacenter Scale Distributed Inference Serving Framework☆6,052Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆70,205Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆812Mar 6, 2025Updated 11 months ago
- Efficient Triton Kernels for LLM Training☆6,141Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,705Jun 25, 2024Updated last year
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,183Sep 30, 2025Updated 4 months ago
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆12,867Updated this week
- Fast and memory-efficient exact attention☆22,231Updated this week
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,737Updated this week
- Supercharge Your LLM with the Fastest KV Cache Layer☆6,871Updated this week
- ☆38Jul 19, 2025Updated 6 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,436Jul 17, 2025Updated 6 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,094Feb 7, 2026Updated last week
- Large Language Model Text Generation Inference☆10,757Jan 8, 2026Updated last month
- Open ABI and FFI for Machine Learning Systems☆337Updated this week
- Development repository for the Triton language and compiler☆18,387Updated this week
- Materials for learning SGLang☆743Jan 5, 2026Updated last month
- Distributed Compiler based on Triton for Parallel Systems☆1,350Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,668Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆7,952Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆752Aug 6, 2025Updated 6 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,266Updated this week
- Universal LLM Deployment Engine with ML Compilation☆22,012Updated this week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,859Feb 7, 2026Updated last week