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An SLM trained on $8 ESP32-S3

https://github.com/Carloscodix/qapla
12•pavelai•2h ago

Comments

pavelai•2h ago
This small Klingon speaking language model was trained completely on ESP32. The training took 2 days

Number of parameters: 319K

(Disclaimer) The models is tiny and is not a pocket chatbot. It mistakes and is not capable to support conversation, but that's not the goal of the project

The goals of the project is to bring training to edge devices and it worked out

How can one use it? By using solar panels such device could be turned into autonomous meteorological station

dannyw•39m ago
Very cool project! Sounds like it was a fun challenge :)

I wonder when we'll start seeing clusters of ESP32-S3s... not sure how interconnects would go though, but I guess the interconnect wouldn't be the bottleneck anyway.

ReactiveJelly•7m ago
Imagine a Beowulf cluster of those
12373bd•20m ago
hIngan motlh puS ruq tuq DujDaq SISwI' nge'vI' vIn SuvwI' yIvwI' qarghtaHvIS SIchoH

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188•bookofjoe•8h ago•143 comments

An SLM trained on $8 ESP32-S3

https://github.com/Carloscodix/qapla
12•pavelai•2h ago•4 comments

We finally learned to center a div, then browsers added sidebars

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70•mapping365•4h ago•65 comments