I built a 20M-parameter LLM from scratch, including full RLHF (PPO)
- What changed
- A developer created and published a small byte-level Transformer model with a local training loop and interface.
- Why you should care
- Building small models locally offers clear educational insights into foundational architecture mechanics.
- Your move
- Watch. Monitor educational implementations for reproducible training insights.
- Evidence
- Unverified sourceHacker News — LLM ↗
- What to watch next
- Future releases expanding architecture scale or training methods.
- Event
- release
- Event date
- Sep 8, 2026
- Relevant to
- General AI readers