# aa1143/NamiGPT

> A step-by-step GPT-2 tutorial in PyTorch: from tokenization to text generation, with a hand-written implementation without ready-made Transformer modules and loading of OpenAI's official weights.

- Magnitude: 4.7 out of 10 — Early signal
- Stars: 111 total · +4 stars measured 2026-10-29, 00:45–02:53 UTC, ≈ 57 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · License: MIT · Created: 2026-10-28 · Last push: 2026-10-28
- GitHub: https://github.com/aa1143/NamiGPT · Homepage: https://namiai.tech/articles/ · Page: https://gitnova.dev/en/r/aa1143/NamiGPT

## Useful for

- Study self-attention and multi-head attention on a minimal three-word example
- Run scripts from chapters/01-inference to walk through the full GPT-2 pipeline step by step
- Verify your implementation against HuggingFace via pytest tests on random and real weights

## Why it’s here

- Star-counter measurements on 2026-10-29 (UTC), 00:45–02:53: 107 → 111 stars (+4). This is the change over that interval.
- Estimated end-of-day forecast: about +57 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 111 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #190.
- About 11 forks a day — people are taking the code.

## 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: 8
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 61 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-10-28 … 2026-10-29: 65, 4

## Spotted in now

- Top new repositories this week: #190

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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 2026-10-29 03:04 UTC, updated every 30 minutes.