How To Train Your Gpt
Build a modern LLM from scratch. Every line commented. Explained like we are five.
At a glance
Is this tool relevant to you?
What it does
Build a modern LLM from scratch. Every line commented. Explained like we are five.
May suit
People who need to run, serve, or optimize AI models.
Before you try it
The repository reports a MIT license. Setup difficulty and device support still need to be checked upstream.
Evidence & freshness
What we know, and how recently we checked
This record comes from the wider automated directory. It has not yet passed the stronger catalog verification checks.
- Source
- Automated project sync
- Checked
- Evidence level
- Limited confidence
- Maintenance signal
- Caution30/100
Several automated maintenance signals are weak or missing. Validate the project carefully.
The health score is an automated maintenance signal, not a security audit or a guarantee that the tool fits your needs.
How verification and health scoring work
Catalog-verified records use a timestamped GitHub snapshot that passed source and completeness checks. Basic listings come from the wider automated sync and have not yet passed that stronger verification path.
Health combines recent activity, commit frequency, issue handling, contributor depth, release cadence, documentation, and community signals. Missing evidence lowers how much confidence you should place in the number.
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2.3K
Stars
🍴
307
Forks
👥
1
Contributors
💚
Caution30/100
Health Score
Star History
Not enough data for chart
Health Score Breakdown
Star Momentum
0
Commit Frequency
16
Issue Health
60
Contributors
10
Release Cadence
10
Documentation
50
Community Signal
100
Project Info
- Language
- Jupyter Notebook
- License
- MIT
- Last Commit
- 7d ago
- Last Release
- N/A
- Open Issues
- 0
- Bus Factor
- 1
- Commits/Week
- 3.1
- Avg Issue Close
- 8.3 days
attention-mechanismdeep-learningeducationalfrom-scratchgptlanguage-modelllamallmmachine-learningnatural-language-processingpythonpytorchtokenisationtransformerstutorial
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