Fridge003/Fridge003.github.io
My personal website
Novice of Building Systems
My personal website
Codebase for Cuda Learning
NVIDIA Inference Benchmarks provide recipes in ready-to-use templates for evaluating platform speed. Validate your platform across specific AI use cases across hardware and software combinations.
SGLang is a high-performance serving framework for large language models and multimodal models.
My set of tools for SGLang development
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
Benchmark SGLang on SLURM
Student version of Assignment 2 for Stanford CS336 - Language Modeling From Scratch
Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
A framework for few-shot evaluation of language models.
FlashMLA: Efficient Multi-head Latent Attention Kernels
Simple log -> parquet converting and visualizer for SGLang benchmarking runs
Cookbook of SGLang - Recipe
Fast and memory-efficient exact attention
A Datacenter Scale Distributed Inference Serving Framework
Kernel Library Wheel for SGLang
LongBench v2 and LongBench (ACL 25'&24')
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.
My repository storing codes and notes for MIT 6.824 Distributed Systems course.
Baidu Paddle Paddle
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
wechat server for pkupiano
A website of pkupiano, allowing members upload their own recordings