Alternatives and similar repositories for omniserve:

Users that are interested in omniserve are comparing it to the libraries listed below

• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆771Updated 6 months ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆557Updated last month
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆361Updated 3 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆298Updated 8 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆336Updated 7 months ago
• hahnyuan / LLM-Viewer
  Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…
  ☆415Updated 6 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆317Updated this week
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆773Updated 6 months ago
• FMInference / DejaVu
  ☆310Updated 11 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆253Updated 9 months ago
• hemingkx / Spec-Bench
  Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)
  ☆241Updated this week
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆240Updated 4 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆249Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆267Updated this week
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆279Updated 2 months ago
• mirage-project / mirage
  Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA
  ☆771Updated this week
• microsoft / sarathi-serve
  A low-latency & high-throughput serving engine for LLMs
  ☆327Updated last month
• ModelTC / llmc
  [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a V…
  ☆436Updated last week
• FlagOpen / FlagGems
  FlagGems is an operator library for large language models implemented in Triton Language.
  ☆457Updated this week
• feifeibear / long-context-attention
  USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
  ☆452Updated this week
• tile-ai / tilelang
  Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
  ☆782Updated this week
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆581Updated 5 months ago
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆714Updated last month
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆440Updated this week
• intel / auto-round
  Advanced Quantization Algorithm for LLMs/VLMs.
  ☆403Updated this week
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆234Updated last month
• FMInference / H2O
  [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
  ☆431Updated 7 months ago
• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
  ☆1,057Updated this week
• mit-han-lab / duo-attention
  [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
  ☆438Updated last month
• cli99 / llm-analysis
  Latency and Memory Analysis of Transformer Models for Training and Inference
  ☆401Updated 2 weeks ago