GitHub · by TianyuCodings
NanoJev
A 0.6B replica: parallel decisions in one forward pass, no decoding.
Geek Lite
@QingQ77
复刻 Jev 的并行决策思路,让 0.6B 小模型一次前向直接输出完整概率分布,不做输出 token 解码。 github.com/TianyuCodings/…
Sep 19, 2026 · 23 likesOpen on X
NanoJev copies Jev’s parallel decision approach in a 0.6B model. It emits the full probability distribution in a single forward pass, with no output token decoding, and ships dynamic candidates and an end-to-end training pipeline.
TianyuCodings/NanoJev on GitHub
- Stars
- 2,552
- Forks
- 261
- Language
- Python
- Last push
- Sep 21, 2026
Repository created Sep 17, 2026. Counts read from the GitHub API on Oct 15, 2026, and they move daily — quote them with the date.