sgl-project / sgl-learning-materials
Materials for learning SGLang
☆335Updated 3 weeks ago
Alternatives and similar repositories for sgl-learning-materials:
Users that are interested in sgl-learning-materials are comparing it to the libraries listed below
- Dynamic Memory Management for Serving LLMs without PagedAttention☆310Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆495Updated 7 months ago
- A low-latency & high-throughput serving engine for LLMs☆319Updated last month
- A throughput-oriented high-performance serving framework for LLMs☆766Updated 5 months ago
- ☆124Updated 2 weeks ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆233Updated last week
- FlagGems is an operator library for large language models implemented in Triton Language.☆453Updated this week
- Efficient and easy multi-instance LLM serving☆332Updated this week
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆413Updated 6 months ago
- Zero Bubble Pipeline Parallelism☆370Updated 2 weeks ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆447Updated last month
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆595Updated 2 weeks ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆763Updated 6 months ago
- flash attention tutorial written in python, triton, cuda, cutlass☆299Updated 2 months ago
- A large-scale simulation framework for LLM inference☆346Updated 4 months ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆256Updated 3 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆298Updated 8 months ago
- ☆322Updated last month
- Latency and Memory Analysis of Transformer Models for Training and Inference☆400Updated 2 weeks ago
- A collection of memory efficient attention operators implemented in the Triton language.☆250Updated 9 months ago
- GLake: optimizing GPU memory management and IO transmission.☆436Updated 3 months ago
- ☆310Updated 11 months ago
- FlagScale is a large model toolkit based on open-sourced projects.☆246Updated this week
- ☆74Updated 3 months ago
- 10x Faster Long-Context LLM By Smart KV Cache Optimizations☆605Updated last week
- Applied AI experiments and examples for PyTorch☆244Updated this week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆239Updated 4 months ago
- ☆127Updated 2 months ago
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆51Updated 7 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆145Updated 2 weeks ago