I built a tiny LLM to demystify how language models work

  • Hacker News
  • Published: Apr 6, 2026
  • First seen: Apr 8, 2026

AI Summary

Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own char...

Best for

Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own char...

Why it matters

Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own char...

Key Features

Key features are still being assembled

This product is visible, but the structured feature set has not been finalized yet.

Use Cases

Use cases are still being assembled

The detail page is live, but the strongest task-level use cases are still being refined.

Why Now

Why now is still pending

Public signals are not yet strong enough to summarize the timing rationale.

Community Signals

Trend score

0

24h momentum

Stable

Hacker News points

896

Stable

Facts / Signals / Inference / Unknowns

Trust data is still pending

The evidence pipeline has not produced enough structured trust blocks for this product yet.

Evidence Snapshots

Evidence snapshots are still pending

No evidence snapshot has been surfaced for this product yet.

Alternatives / Related

No products to compare yet

When nearby candidates are available, they will show up here first.

Original Sources