# Low-Zi-Hong/ESP32s3-LLM-Cluster

> 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.

- Magnitude: 3.6 out of 10 — Steady
- Stars: 90 total · +0 stars today, ≈ 23 by evening
- Star trust: star growth looks organic
- Category: Hardware, IoT & robotics · Language: C++ · License: MIT · Created: 2026-08-06 · Last push: 2026-09-26
- GitHub: https://github.com/Low-Zi-Hong/ESP32s3-LLM-Cluster · Page: https://gitnova.dev/en/r/Low-Zi-Hong/ESP32s3-LLM-Cluster

## 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

## Why it’s here

- 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 90 stars.
- Hacker News: “ESP32S3 cluster running 1.58-bit (BitNet) Language model” — 53 points, 7 h ago.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 5
- Issues and pull requests: 5
- Watchers: 0
- Average over the last week: 9 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 7

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-08-31 … 2026-09-29: 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 35, 0

## Hacker News

- ESP32S3 cluster running 1.58-bit (BitNet) Language model — 53 points, 7 comments: https://news.ycombinator.com/item?id=49884625

## Spotted in now

- Spotted on Hacker News

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-29 04:34 UTC, updated every 30 minutes.