Alternatives and similar repositories for vllm-ltr:

Users that are interested in vllm-ltr are comparing it to the libraries listed below

• zhengzangw / Sequence-Scheduling
  PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".
  ☆85Updated last year
• hao-ai-lab / MuxServe
  ☆55Updated 9 months ago
• LoongServe / LoongServe
  ☆91Updated 4 months ago
• HPMLL / BurstGPT
  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
  ☆156Updated 5 months ago
• LLMServe / SwiftTransformer
  High performance Transformer implementation in C++.
  ☆113Updated 2 months ago
• microsoft / ParrotServe
  [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable
  ☆151Updated 6 months ago
• flexflow / flexflow-serve
  FlexFlow Serve: Low-Latency, High-Performance LLM Serving
  ☆32Updated this week
• Relaxed-System-Lab / HexGen
  [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.
  ☆23Updated 10 months ago
• Hsword / SpotServe
  SpotServe: Serving Generative Large Language Models on Preemptible Instances
  ☆112Updated last year
• d-matrix-ai / keyformer-llm
  ☆52Updated last year
• WukLab / preble
  Stateful LLM Serving
  ☆50Updated 3 weeks ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆86Updated last week
• LiuXiaoxuanPKU / OSD
  ☆47Updated 4 months ago
• thu-pacman / FasterMoE
  ☆81Updated 3 years ago
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆93Updated 11 months ago
• James-QiuHaoran / LLM-serving-with-proxy-models
  Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction | A tiny BERT model can tell you the verbosity of an …
  ☆33Updated 10 months ago
• UChi-JCL / CacheGen
  ☆94Updated 5 months ago
• MoE-Inf / awesome-moe-inference
  Curated collection of papers in MoE model inference
  ☆116Updated last month
• project-etalon / etalon
  LLM Serving Performance Evaluation Harness
  ☆73Updated last month
• awslabs / optimizing-multitask-training-through-dynamic-pipelines
  Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines
  ☆17Updated last year
• galeselee / Awesome_LLM_System-PaperList
  Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…
  ☆238Updated 3 weeks ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆31Updated this week
• InternLM / Awesome-LLM-Training-System
  ☆32Updated 7 months ago
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆67Updated 3 weeks ago
• pku-liang / ArkVale
  ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction (NIPS'24)
  ☆32Updated 3 months ago
• alpa-projects / mms
  AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)
  ☆82Updated last year
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆103Updated last month
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆158Updated 8 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆265Updated 4 months ago
• YaoJiayi / CacheBlend
  ☆85Updated 3 months ago