Alternatives and similar repositories for ByteCheckpoint

Users that are interested in ByteCheckpoint are comparing it to the libraries listed below

• ByteDance-Seed / VeOmni
  VeOmni: Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework
  ☆370Updated last week
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆212Updated 10 months ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆406Updated 2 months ago
• fzyzcjy / torch_memory_saver
  Allow torch tensor memory to be released and resumed later
  ☆80Updated last week
• sgl-project / genai-bench
  Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…
  ☆169Updated this week
• microsoft / ParrotServe
  [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable
  ☆168Updated 9 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆303Updated last week
• hao-ai-lab / vllm-ltr
  [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank
  ☆50Updated 8 months ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆113Updated last week
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆119Updated last month
• thu-pacman / FasterMoE
  ☆86Updated 3 years ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆132Updated 6 months ago
• ppl-ai / pplx-kernels
  Perplexity GPU Kernels
  ☆395Updated last month
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆101Updated last month
• THUDM / slime
  slime is a LLM post-training framework aiming for RL Scaling.
  ☆596Updated this week
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆209Updated last week
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆215Updated last month
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆441Updated last month
• InternLM / turbomind
  ☆90Updated 3 months ago
• madsys-dev / deepseekv2-profile
  ☆145Updated 4 months ago
• NVIDIA-NeMo / RL
  Scalable toolkit for efficient model reinforcement
  ☆499Updated this week
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆100Updated 3 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆272Updated last year
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆281Updated this week
• ISEEKYAN / mbridge
  ☆50Updated 3 weeks ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆401Updated last month
• alibaba / easydist
  Automated Parallelization System and Infrastructure for Multiple Ecosystems
  ☆79Updated 7 months ago
• feifeibear / long-context-attention
  USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
  ☆528Updated last month
• microsoft / SeerAttention
  SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
  ☆132Updated last week
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆121Updated 7 months ago