Alternatives and similar repositories for DT-FM:

Users that are interested in DT-FM 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
• thu-pacman / FasterMoE
  ☆81Updated 2 years ago
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆90Updated 11 months ago
• zhuohan123 / terapipe
  ☆72Updated 3 years ago
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆38Updated 2 years ago
• RulinShao / FastCkpt
  Python package for rematerialization-aware gradient checkpointing
  ☆24Updated last year
• RulinShao / LightSeq
  Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers
  ☆207Updated 7 months ago
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 3 years ago
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆151Updated this week
• alpa-projects / mms
  AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)
  ☆82Updated last year
• hao-ai-lab / MuxServe
  ☆55Updated 9 months ago
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆61Updated last week
• Hsword / SpotServe
  SpotServe: Serving Generative Large Language Models on Preemptible Instances
  ☆112Updated last year
• DS3Lab / Decentralized_FM_alpha
  ☆18Updated last year
• spcl / substation
  Research and development for optimizing transformers
  ☆125Updated 4 years ago
• microsoft / SuperScaler
  An experimental parallel training platform
  ☆54Updated last year
• stanford-futuredata / stk
  ☆101Updated 7 months ago
• Relaxed-System-Lab / HexGen
  [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.
  ☆22Updated 10 months ago
• project-etalon / etalon
  LLM Serving Performance Evaluation Harness
  ☆73Updated last month
• HPMLL / BurstGPT
  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
  ☆154Updated 5 months ago
• tyler-griggs / melange-release
  ☆45Updated 9 months ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆103Updated 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
• microsoft / varuna
  ☆248Updated 8 months ago
• SymbioticLab / ModelKeeper
  A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup
  ☆34Updated 2 years ago
• Youhe-Jiang / IJCAI2023-OptimalShardedDataParallel
  [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…
  ☆51Updated last year
• LiuXiaoxuanPKU / OSD
  ☆47Updated 3 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆208Updated 3 months ago
• microsoft / ParrotServe
  [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable
  ☆150Updated 6 months ago
• WukLab / preble
  Stateful LLM Serving
  ☆50Updated 2 weeks ago