Yuan Luo

@yuan-luo · User

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Repositories

yuan-luo/sglang

SGLang is a fast serving framework for large language models and vision language models.

★ 0PythonForks 0

yuan-luo/cuLA

CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.

★ 0PythonForks 0

yuan-luo/sglang-omni

SGLang Omni: High-Performance Multi-Stage Pipeline Framework for Omni Models

★ 1PythonForks 0

yuan-luo/verl

verl: Volcano Engine Reinforcement Learning for LLMs

★ 0PythonForks 0

yuan-luo/DeepGEMM

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

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yuan-luo/TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support 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 performant way.

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yuan-luo/triton

Development repository for the Triton language and compiler

★ 0MLIRForks 0

yuan-luo/SageAttention

Quantized Attention achieves speedup of 2-5x and 3-11x compared to FlashAttention and xformers, without lossing end-to-end metrics across language, image, and video models.

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yuan-luo/DeepEP

DeepEP: an efficient expert-parallel communication library

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yuan-luo/Mooncake

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

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yuan-luo/3FS

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

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yuan-luo/Pre-training-language-model

博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接:https://github.com/nickchen121/Pre-training-language-model 配套博客链接:https://www.cnblogs.com/nickchen121/p/15105048.html

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yuan-luo/oceanbase

OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.

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