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".
  ☆93Updated 2 years ago
• thu-pacman / SmartMoE-AE
  ATC23 AE
  ☆47Updated 2 years ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆120Updated 2 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆219Updated last year
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆230Updated 2 years ago
• zhuohan123 / terapipe
  ☆77Updated 4 years ago
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆69Updated 9 months ago
• d-matrix-ai / keyformer-llm
  ☆58Updated last year
• Relaxed-System-Lab / HexGen
  [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.
  ☆33Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆135Updated 6 months ago
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆96Updated last year
• LoongServe / LoongServe
  ☆125Updated last year
• microsoft / chunk-attention
  ☆83Updated 8 months ago
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆137Updated last month
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆265Updated 2 months ago
• FMInference / DejaVu
  ☆348Updated last year
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆357Updated 5 months ago
• hao-ai-lab / MuxServe
  ☆79Updated 2 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆109Updated 8 months ago
• hao-ai-lab / vllm-ltr
  [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank
  ☆66Updated last year
• InternLM / Awesome-LLM-Training-System
  ☆44Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆172Updated last year
• Hsword / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …
  ☆122Updated 2 years ago
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆63Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆331Updated last year
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆174Updated this week
• LiuXiaoxuanPKU / OSD
  ☆63Updated last year
• CalvinXKY / mfu_calculation
  A simple calculation for LLM MFU.
  ☆50Updated 3 months ago
• kwai / Megatron-Kwai
  LLM training technologies developed by kwai
  ☆66Updated 3 weeks ago
• yanring / Megatron-MoE-ModelZoo
  Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.
  ☆137Updated last month