Alternatives and similar repositories for Sequence-Scheduling

Users that are interested in Sequence-Scheduling are comparing it to the libraries listed below

• thu-pacman / FasterMoE
  ☆85Updated 3 years ago
• hao-ai-lab / vllm-ltr
  [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank
  ☆57Updated 9 months ago
• microsoft / ParrotServe
  [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable
  ☆176Updated 11 months ago
• LiuXiaoxuanPKU / OSD
  ☆56Updated 8 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆217Updated last year
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆94Updated last year
• LoongServe / LoongServe
  ☆113Updated 9 months ago
• d-matrix-ai / keyformer-llm
  ☆54Updated last year
• hao-ai-lab / MuxServe
  ☆68Updated last year
• Hsword / SpotServe
  SpotServe: Serving Generative Large Language Models on Preemptible Instances
  ☆128Updated last year
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆104Updated 4 months ago
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆106Updated 4 months ago
• UChi-JCL / CacheGen
  ☆120Updated 10 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆321Updated last month
• zcli-charlie / Awesome-KV-Cache
  ☆77Updated 10 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆165Updated last year
• Gaffey / ExCP
  Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".
  ☆48Updated last year
• microsoft / chunk-attention
  ☆78Updated 4 months ago
• WukLab / preble
  Stateful LLM Serving
  ☆81Updated 5 months ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆115Updated this week
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆59Updated last year
• Relaxed-System-Lab / HexGen
  [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.
  ☆27Updated last year
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆214Updated last year
• FasterDecoding / SnapKV
  ☆273Updated last month
• FMInference / DejaVu
  ☆332Updated last year
• thu-pacman / SmartMoE-AE
  ATC23 AE
  ☆46Updated 2 years ago
• FMInference / H2O
  [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
  ☆466Updated last year
• YaoJiayi / CacheBlend
  ☆131Updated last month
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆221Updated last month
• 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…
  ☆266Updated 5 months ago