TianyuCodings/NanoJev

A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.

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English | 简体中文 A 0.6B parallel decision model: states and questions in, complete probability distributions out. Zero output-token decoding. Play ViZDoom · Maze & Snake · Model · Dataset Now playing ViZDoom: one shared checkpoint handles Basic aiming and Predict Position's moving-target rocket shots, alongside Maze and Snake. 4 tasks · 18,760 decision questions per data variant · 896 Predict Position expert episodes September 20, 2026 — One model, four games. Real browser replays of Jev, NanoJev and Untuned Qwen. These animations loop automatically; click either one to open its interactive player. All four demos use the same current NanoJev checkpoint. The interactive development site currently requires access; all recordings can also be played locally using the commands below. [](https://nanojev-dev.tianyuchen99.chatgpt.site/?autoplay=1) Move into position, line up the target, fire. NanoJev eliminates the target with one shot in 1.40 s; Jev and Untuned Qwen each fire 19 shots without an elimination before…

TianyuCodings/NanoJev on GitHub A short preview, not the full document.

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Inside the original README — Document outline
  1. NanoJev — A nano replica of Jev
  2. What's new
  3. Three models, side by side
  4. ViZDoom Basic · Aim, then fire
  5. Find the exit · 50×50 Maze
  6. What NanoJev does
  7. Held-out gameplay
  8. Dataset scale and model
  9. Release version and training run
  10. Quick start
  11. Development notes
  12. Roadmap

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What this repository does

A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.

Repository facts

Owner
TianyuCodings
Primary language
Python
Stars
2,558
Forks
263
Open issues + pull requests
9
License
MIT
Archived
No
Default branch
main
Created
2026-09-17T16:08:30.000Z
Last push
2026-10-16T01:00:52.000Z

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