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
  ☆297Updated 2 weeks ago
• ByteDance-Seed / Triton-distributed
  Distributed Triton for Parallel Systems
  ☆451Updated 2 weeks ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆383Updated 2 weeks ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆270Updated 5 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆209Updated 8 months ago
• microsoft / ParrotServe
  [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable
  ☆154Updated 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
  ☆477Updated this week
• ppl-ai / pplx-kernels
  Perplexity GPU Kernels
  ☆235Updated 2 weeks ago
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆184Updated last week
• openpsi-project / ReaLHF
  Super-Efficient RLHF Training of LLMs with Parameter Reallocation
  ☆281Updated 3 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…
  ☆246Updated last month
• FasterDecoding / SnapKV
  ☆237Updated 11 months ago
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆115Updated 4 months ago
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆197Updated 2 months ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆107Updated last week
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆120Updated 3 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆348Updated last week
• madsys-dev / deepseekv2-profile
  ☆131Updated last month
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆94Updated last week
• hao-ai-lab / vllm-ltr
  [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank
  ☆46Updated 5 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆210Updated 4 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆304Updated 9 months ago
• InternLM / turbomind
  ☆82Updated 3 weeks ago
• October2001 / Awesome-KV-Cache-Compression
  📰 Must-read papers on KV Cache Compression (constantly updating 🤗).
  ☆376Updated 2 weeks ago
• mit-han-lab / duo-attention
  [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
  ☆453Updated 2 months ago
• microsoft / sarathi-serve
  A low-latency & high-throughput serving engine for LLMs
  ☆346Updated last week
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆171Updated this week
• hao-ai-lab / Dynasor
  Simple extension on vLLM to help you speed up reasoning model without training.
  ☆146Updated this week
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆94Updated last year
• LeanModels / DFloat11
  ☆20Updated last week