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Made with Jev

GitHub · by TianyuCodings

NanoJev

A 0.6B replica: parallel decisions in one forward pass, no decoding.

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@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/…

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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

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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.

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