# Tinyml Resources for arm32v7

**URL:** <https://discuss.tinyml.seas.harvard.edu/t/tinyml-resources-for-arm32v7/1701>\
**Category:** General Discussions\
**Created:** [February 27, 2025, 4:50am UTC](https://discuss.tinyml.seas.harvard.edu/t/tinyml-resources-for-arm32v7/1701 "2025-02-27T04:50:59Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![anksbhat](https://avatars.discourse-cdn.com/v4/letter/a/779978/32.png) [@anksbhat](https://discuss.tinyml.seas.harvard.edu/u/anksbhat)\
**Post date:** [February 27, 2025, 4:50am UTC](https://discuss.tinyml.seas.harvard.edu/t/tinyml-resources-for-arm32v7/1701/1 "2025-02-27T04:50:59Z")

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I am trying to build a TinyML model for edge devices that run on ARM32v7 architecture. Tensorflow-lite is not helpful , there are certain licensing issues that come with that. Pytorch doesn’t support arm32v7. Is there any other alternative that I can try?

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**Author:** ![drcxcruz](https://avatars.discourse-cdn.com/v4/letter/d/73ab20/32.png) [@drcxcruz](https://discuss.tinyml.seas.harvard.edu/u/drcxcruz)\
**Post date:** [March 5, 2025, 11:28pm UTC](https://discuss.tinyml.seas.harvard.edu/t/tinyml-resources-for-arm32v7/1701/2 "2025-03-05T23:28:19Z")

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Hello, I do not know the answer to your question. I am wondering what kind of application you are trying to built.