TilelliLab / atome-lm
A ternary, zero-heap tiny language model that runs inside a $2 microcontroller — bit-exact Python <-> C99 <-> Cortex-M3 (QEMU) parity. Apache-2.0.
Why this job: topics: quantization, on-device-ai, edge-ai
What it does
The 944K checkpoint is a research-demo artifact, not a product: it is narrow, sometimes incoherent, and trained on a single corpus. It is here to make the architecture *runnable*, not to set a quality bar. Reproduction is ~$1–2 of CPU/GPU using the included training code; nothing in this kit is a reproduction barrier.
Get started
./install.sh
# CPU-only venv + dependencies + environment check - Maintenance
- Active
- Last commit 4 months ago
- Stars
- 153
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0
- Released 4 months ago
- Built with
- Python
- 49% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- 3
- 3 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 49%
- C 45%
- Shell 2%
- CMake 1%
Topics
- qemu
- tinyml
- bitnet
- cortex-m
- edge-ai
- embedded
- esp32
- language-model
- llm
- machine-learning
- microcontroller
- on-device-ai
Project record
- JobLocal LLMs
- StatusListed
- Commits13
- Forks13
- Watching3
- Stars in 28 days+2
- CreatedMay 23, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026