Alternatives and similar repositories for ultrascale-playbook-zh

Users that are interested in ultrascale-playbook-zh are comparing it to the libraries listed below

• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆112Updated 4 months ago
• ailzhang / EfficientPyTorch
  Code release for book "Efficient Training in PyTorch"
  ☆110Updated 7 months ago
• sgl-project / SpecForge
  Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
  ☆483Updated this week
• LDLINGLINGLING / nano_vllm_note
  注释的nano_vllm仓库，并且完成了MiniCPM4的适配以及注册新模型的功能
  ☆95Updated 3 months ago
• madsys-dev / deepseekv2-profile
  ☆151Updated 8 months ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆163Updated 2 months ago
• intelligent-machine-learning / atorch
  An industrial extension library of pytorch to accelerate large scale model training
  ☆51Updated 3 months ago
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆90Updated 7 months ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆62Updated last year
• OpenPPL / ppl.nn.llm
  ☆139Updated last year
• ifromeast / cuda_learning
  learning how CUDA works
  ☆338Updated 8 months ago
• feifeibear / LLMRoofline
  Compare different hardware platforms via the Roofline Model for LLM inference tasks.
  ☆119Updated last year
• mdy666 / mdy_triton
  ☆148Updated 4 months ago
• flagos-ai / FlagScale
  FlagScale is a large model toolkit based on open-sourced projects.
  ☆407Updated last week
• ModelTC / LightCompress
  [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLM, VLM, and video generation models.
  ☆622Updated last week
• flagos-ai / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆284Updated last year
• hahnyuan / LLM-Viewer
  Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…
  ☆578Updated last year
• OpenPPL / ppl.llm.serving
  ☆130Updated 10 months ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆459Updated last year
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆229Updated 3 months ago
• kwai / Megatron-Kwai
  [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…
  ☆66Updated last year
• DeepLink-org / dlinfer
  ☆65Updated last week
• flagos-ai / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆763Updated this week
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆644Updated last week
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆560Updated 2 months ago
• InternLM / Awesome-LLM-Training-System
  ☆44Updated last year
• Starmys / TritonStudyGroup
  ☆95Updated last month
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆107Updated 7 months ago
• Tencent / KsanaLLM
  ☆512Updated 2 months ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆134Updated 2 years ago