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pytorch/executorch

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On-device AI across mobile, embedded and edge for PyTorch

10 mentions on Hacker News by 10 people: 2 stories, 8 comments · first 2023-10-17 · latest 2026-08-10

Mentions per year 10 mentions · busiest year 2025 (4)
20082026
  1. Try quantizing yourself, just a suggestion. https://github.com/pytorch/executorch/tree/main/examples/mod...
  2. Docs https://github.com/pytorch/executorch/tree/main/examples/was...
    comment by utopiah · 2026-06-24 · in FUTO Swipe – A new swipe typing model
  3. I get the impression that https://github.com/pytorch/executorch is Meta’s take on TFLite / LiteRT, which is quite interesting. While reading the README and related documentation, I noticed that Samsung Exynos NPU acceleration was listed,…
  4. ▲ 120
    Executorch: On-device AI across mobile, embedded and edge for PyTorch
    story by klaussilveira · 2025-12-18 · 21 comments
  5. Genuine question, why should I use this to deploy models on the edge instead of executorch? https://github.com/pytorch/executorch For context, I get to choose the tech stack for a greenfield project. I think that executor h, which belongs…
  6. Something to consider for deploying LLMs on the ANE is: https://github.com/pytorch/executorch/tree/main/examples/app... The model does have some limitations (e.g., need for QAT for 4-bit quantization), lack of a C++ runner to execute the…
    comment by ycomby321 · 2025-05-05 · in Run LLMs on Apple Neural Engine (ANE)
  7. …on wearables after I'm a little further along in learning, great to see official tooling for that! https://github.com/pytorch/executorch
    comment by BaculumMeumEst · 2024-08-01 · in Torchchat: Chat with LLMs Everywhere
  8. ▲ 1
    Executorch on-device AI across mobile, embedded and edge for PyTorch
    story by politelemon · 2024-05-16 · 1 comment
  9. …Torchscript. If you have specific binary size or edge specific request, feel free to file issues in https://github.com/pytorch/executorch/issues
  10. …I be looking at executorch? I currently don't see an nvidia backend / integration with tensor rt in https://github.com/pytorch/executorch/tree/main/backends , but seems like it might be possible. Is this something you are thinking about?