Platinum I
1,742 Elo
- #1,865 on the ladder
- −10 today · −19 this week
- Peak 1,773
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
NVIDIA/TensorRT-LLM is #1,865 on the bestofgithub Elo ladder, in Platinum I, with a rating of 1,742 (−19 this week). It has 15,079 stars, 40 gained in the last week.
1,742 Elo
15,079
git clone https://github.com/NVIDIA/TensorRT-LLM.gitHigh-throughput LLM serving engine with PagedAttention and an OpenAI-compatible server.
pip install vllmSGLang is a high-performance serving framework for large language models and multimodal models.
git clone https://github.com/sgl-project/sglang.git95.47% on CIFAR10 with PyTorch
git clone https://github.com/kuangliu/pytorch-cifar.git本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
git clone https://github.com/liguodongiot/llm-action.gitFlashInfer: Kernel Library for LLM Serving
git clone https://github.com/flashinfer-ai/flashinfer.gitFacebook AI Research Sequence-to-Sequence Toolkit written in Python.
git clone https://github.com/facebookresearch/fairseq.gitLoading README…