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
About the project
Distributed LLM inference engine across a 7-node ESP32-S3 cluster: the master runs the tokenizer and embeddings while nodes execute transformer layers of a 0.4B model with 1.58-bit (BitNet) ternary quantization, communicating over an SPI daisy-chain.
Useful for
- Build an ESP32-S3 cluster to run a quantized LLM without a GPU
- Study the 1.58-bit ternary linear layer implementation on microcontrollers
- Prepare and pack model weights into INT4 and 1.58-bit using python_tools
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 23 expected by the end of the day. The usual pace is 0 per day, so that's 23× as much.
- Before this, the repository barely got any stars — about 0 per day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 54 days old and already has 87 stars.
- Hacker News: “ESP32S3 cluster running 1.58-bit (BitNet) Language model” — 45 points, 6 h ago.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 87
- Today
- 0 · ≈ 22 by evening
- Forks
- 5
- Issues and pull requests
- 5
- Watchers
- 0
- Language
- C++
- License
- MIT
- Created
- August 6, 2026
- Last push
- September 26, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Hacker News discussions
- ESP32S3 cluster running 1.58-bit (BitNet) Language model45 points, September 28, 2026
Spotted in
- September 29, 2026Spotted on Hacker News
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