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  1. Home
  2. /Repositories
  3. /kyegomez/BitNet
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repoGitHubTrust 82 · PrimaryPublished 12d agoLive · 11d ago

kyegomez/BitNet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

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) · 55%Transformer →
  • PossiblePossibly related (embedding) · 53%$\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space →
  • PossiblePossibly related (embedding) · 49%Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP →
  • PossiblePossibly related (embedding) · 47%H64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P] →
  • PossiblePossibly related (embedding) · 47%Kuma: compiling PyTorch models into self-contained WebGPU executables [P] →

Related to

glossary_termTransformer

Implements

paper$\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space

Covers

newsProfiling in PyTorch (Part 2): From nn.Linear to a Fused MLPnewsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]newsKuma: compiling PyTorch models into self-contained WebGPU executables [P]

Related across the graph

newsProfiling in PyTorch (Part 2): From nn.Linear to a Fused MLPglossary_termTransformernewsKuma: compiling PyTorch models into self-contained WebGPU executables [P]newsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]paper$\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space
Knowledge path·NProfiling in PyTorch (Part 2): From nn.Linear to a Fused MLP→GTransformer→NKuma: compiling PyTorch models into self-contained WebGPU executables [P]→Rkyegomez/BitNet

Topics

artificial-intelligencedeep-neural-networksdeeplearninggpt4machine-learningmultimodalmultimodal-deep-learning

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Graph trust82Primary
Graph score1940