prabeakarve / microgpt
A from-scratch, dependency-free GPT implementation in pure NumPy: byte-level tokenizer, multi-head self-attention, Adam trainer, and top-k sampler.
Why this job: says: from scratch
What it does
MicroGPT is a decoder-only Transformer language model implemented from first principles. Every gradient is derived by hand, every shape is annotated, and the whole thing trains on a laptop CPU in about a minute. It exists for one reason: to make the machinery of modern language models legible instead of magical.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 days ago
- Stars
- 51
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 5 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| aa1143 / NamiGPT | 211 | 13 days ago | MIT | No downloads |
| raiyanyahya / how-to-train-your-gpt | 4,177 | 15 days ago | MIT | No downloads |
| rohitg00 / ai-engineering-from-scratch | 78,169 | yesterday | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 100%
Topics
- attention
- deep-learning
- from-scratch
- gpt
- language-model
- llm
- machine-learning
- numpy
- python
- transformer
Project record
- JobLists and guides
- StatusNew to our list
- Commits2
- Forks0
- Watching0
- CreatedNov 5, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026