mit-han-lab / omniserveLinks
[MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention
☆792Updated 9 months ago
Alternatives and similar repositories for omniserve
Users that are interested in omniserve 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.☆962Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆732Updated 4 months ago
- A throughput-oriented high-performance serving framework for LLMs☆924Updated last month
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆469Updated last year
- Dynamic Memory Management for Serving LLMs without PagedAttention☆453Updated 6 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆599Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆395Updated last year
- ☆348Updated last year
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆557Updated last week
- Fast low-bit matmul kernels in Triton☆410Updated last week
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆343Updated last month
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 5 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆357Updated 10 months ago
- A low-latency & high-throughput serving engine for LLMs☆458Updated 2 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆467Updated 8 months ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLM, VLM, and video generation models.☆643Updated last month
- Applied AI experiments and examples for PyTorch☆311Updated 4 months ago
- This repository contains integer operators on GPUs for PyTorch.☆223Updated 2 years ago
- Perplexity GPU Kernels☆542Updated last month
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year
- LLM KV cache compression made easy☆729Updated last week
- Zero Bubble Pipeline Parallelism☆442Updated 7 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆202Updated last month
- Microsoft Automatic Mixed Precision Library☆634Updated 3 weeks ago
- Disaggregated serving system for Large Language Models (LLMs).☆754Updated 8 months ago
- Distributed Compiler based on Triton for Parallel Systems☆1,289Updated last week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,575Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆151Updated 4 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆322Updated 9 months ago