Alternatives and similar repositories for FasterMoE

Users that are interested in FasterMoE 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".
  ☆88Updated 2 years ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆99Updated 3 weeks ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆210Updated 10 months ago
• zhuohan123 / terapipe
  ☆74Updated 4 years ago
• microsoft / chunk-attention
  ☆77Updated 2 months ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆113Updated this week
• d-matrix-ai / keyformer-llm
  ☆54Updated last year
• LoongServe / LoongServe
  ☆103Updated 7 months ago
• thu-pacman / SmartMoE-AE
  ATC23 AE
  ☆45Updated 2 years ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆214Updated last year
• zcli-charlie / Awesome-KV-Cache
  ☆67Updated 8 months ago
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆95Updated last year
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆89Updated 2 months ago
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆57Updated 11 months ago
• Hsword / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …
  ☆112Updated last year
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆295Updated 7 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆163Updated 11 months ago
• Gaffey / ExCP
  Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".
  ☆48Updated 11 months ago
• Relaxed-System-Lab / HexGen
  [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.
  ☆26Updated last year
• dilab-zju / self-speculative-decoding
  Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**
  ☆190Updated 4 months ago
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆66Updated 3 months ago
• hao-ai-lab / MuxServe
  ☆62Updated last year
• hao-ai-lab / vllm-ltr
  [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank
  ☆48Updated 7 months ago
• MDK8888 / vllmini
  A minimal implementation of vllm.
  ☆43Updated 10 months ago
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated last year
• stanford-futuredata / stk
  ☆105Updated 9 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆99Updated 2 months ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆127Updated 5 months ago
• WukLab / preble
  Stateful LLM Serving
  ☆73Updated 3 months ago
• InternLM / Awesome-LLM-Training-System
  ☆36Updated 10 months ago