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  1. Home
  2. /Repositories
  3. /microsoft/Tutel
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repoGitHubTrust 82 · PrimaryPublished 27d agoLive · 27d ago

microsoft/Tutel

Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 54%H64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P] →
  • PossiblePossibly related (embedding) · 49%DeepSeek open-sources inference optimizations with 60–85% faster generation [pdf] →
  • PossiblePossibly related (embedding) · 48%Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains →
  • PossiblePossibly related (embedding) · 48%Adaptive Mixture of Experts Gate (AMG) [R] →

Covers

newsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]newsDeepSeek open-sources inference optimizations with 60–85% faster generation [pdf]newsIntroducing Mellum2: A 12B Mixture-of-Experts Model by JetBrainsnewsAdaptive Mixture of Experts Gate (AMG) [R]

Related across the graph

newsIntroducing Mellum2: A 12B Mixture-of-Experts Model by JetBrainsnewsAdaptive Mixture of Experts Gate (AMG) [R]newsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]newsDeepSeek open-sources inference optimizations with 60–85% faster generation [pdf]
Knowledge path·NIntroducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains→NAdaptive Mixture of Experts Gate (AMG) [R]→NH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]→Rmicrosoft/Tutel

Topics

deepseekllmmixture-of-expertsmoepytorch

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Graph trust82Primary
Graph score998