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ESP32S3 cluster running 1.58-bit (BitNet) Language model

GitHub - Low-Zi-Hong/ESP32s3-LLM-Cluster: 7-node ESP32-S3 cluster running a 0.4B LLM via 1.58-bit (BitNet) ternary quantization over SPI daisy-chain

github.com

September 28, 2026

3 min read

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46/100

Summary

A distributed pipeline inference engine on multiple ESP32S3 running 1.58-bit (BitNet) Language model. This project runs a sliced 0.5B LLM across a cluster of 7 ESP32s3. One act as master and others are node. The master node runs the tokenizer and embeding and the other attention layer and MLP ran on the nodes. The master and node communicate through high speed SPI Daisy-Chain. ┌───────────────────...

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