efeslab / NanoflowLinks
A throughput-oriented high-performance serving framework for LLMs
☆814Updated 3 weeks ago
Alternatives and similar repositories for Nanoflow
Users that are interested in Nanoflow are comparing it to the libraries listed below
Sorting:
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆827Updated 8 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆686Updated 2 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆378Updated last month
- Materials for learning SGLang☆424Updated last week
- Disaggregated serving system for Large Language Models (LLMs).☆601Updated last month
- Ring attention implementation with flash attention☆771Updated last week
- Perplexity GPU Kernels☆324Updated last week
- A low-latency & high-throughput serving engine for LLMs☆370Updated this week
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,035Updated last week
- Efficient and easy multi-instance LLM serving☆420Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,266Updated 2 weeks ago
- Serving multiple LoRA finetuned LLM as one☆1,060Updated last year
- Distributed Triton for Parallel Systems☆765Updated last week
- Latency and Memory Analysis of Transformer Models for Training and Inference☆421Updated last month
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆506Updated this week
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆470Updated 8 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,417Updated this week
- LLM KV cache compression made easy☆493Updated 3 weeks ago
- Redis for LLMs☆1,202Updated this week
- Zero Bubble Pipeline Parallelism☆395Updated 3 weeks ago
- Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU. Seamlessly integrated with Torchao, Tra…☆483Updated this week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆355Updated 9 months ago
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆850Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,249Updated 2 months ago
- Microsoft Automatic Mixed Precision Library☆602Updated 8 months ago
- A PyTorch Native LLM Training Framework☆811Updated 5 months ago
- Serverless LLM Serving for Everyone.☆475Updated this week
- ☆193Updated 3 weeks ago
- A large-scale simulation framework for LLM inference☆380Updated 6 months ago
- Fast low-bit matmul kernels in Triton☆303Updated this week