thu-pacman / FasterMoE

Related projects ⓘ

Alternatives and complementary repositories for FasterMoE

• zhengzangw / Sequence-Scheduling
  PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".
  ☆74Updated last year
• RulinShao / LightSeq
  Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers
  ☆195Updated 3 months ago
• TorchMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆103Updated 3 months ago
• LoongServe / LoongServe
  ☆56Updated last week
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆77Updated 3 weeks ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆181Updated last year
• zhuohan123 / terapipe
  ☆66Updated 3 years ago
• thu-pacman / SmartMoE-AE
  ATC23 AE
  ☆43Updated last year
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆203Updated 3 weeks ago
• LiuXiaoxuanPKU / OSD
  ☆36Updated 3 months ago
• hao-ai-lab / MuxServe
  ☆46Updated 5 months ago
• microsoft / sarathi-serve
  A low-latency & high-throughput serving engine for LLMs
  ☆247Updated 2 months ago
• microsoft / chunk-attention
  ☆43Updated 6 months ago
• 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…
  ☆175Updated this week
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆149Updated 4 months ago
• kwai / Megatron-Kwai
  [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…
  ☆46Updated 3 months ago
• HPMLL / BurstGPT
  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
  ☆135Updated last month
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆53Updated 3 weeks ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆68Updated 4 months ago
• YaoJiayi / CacheBlend
  ☆51Updated last month
• dilab-zju / self-speculative-decoding
  Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**
  ☆140Updated 6 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆240Updated last week
• stanford-futuredata / stk
  ☆88Updated 2 months ago
• madsys-dev / deepseekv2-profile
  ☆64Updated 4 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆278Updated 4 months ago
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆85Updated 7 months ago
• Hsword / SpotServe
  SpotServe: Serving Generative Large Language Models on Preemptible Instances
  ☆102Updated 9 months ago
• d-matrix-ai / keyformer-llm
  ☆42Updated 7 months ago
• hemingkx / Spec-Bench
  Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)
  ☆190Updated 3 weeks ago
• FasterDecoding / SnapKV
  ☆189Updated 6 months ago