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  1. Home
  2. /Repositories
  3. /jjang-ai/jangq
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 23d ago

jjang-ai/jangq

JANG — GGUF for MLX. YOU MUST USE JANG_Q RUNTIME. Adaptive Mixed-Precision Quantization + Runtime for Apple Silicon

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) · 48%Qualcomm launches GenieX to run LLMs on their Windows Laptops →
  • PossiblePossibly related (embedding) · 51%Apple M5 isn't making full use of its matmul cores yet →

Covers

newsQualcomm launches GenieX to run LLMs on their Windows Laptops

Covers (incoming)

newsApple M5 isn't making full use of its matmul cores yet

Related across the graph

newsApple M5 isn't making full use of its matmul cores yetnewsQualcomm launches GenieX to run LLMs on their Windows Laptops
Knowledge path·NApple M5 isn't making full use of its matmul cores yet→NQualcomm launches GenieX to run LLMs on their Windows Laptops→Rjjang-ai/jangq

Topics

apple-siliconggufjang-quantizationllamacppllmmlxmlxllmomlxomlx-alternativequantization

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Graph trust82Primary
Graph score215