# TianyuCodings: nanojev

> A 0.6B replica of the System One idea trained on game environments. A Qwen3-0.6B backbone with an attention-based Choice head that scores a dynamic candidate set for Maze, Snake, ViZDoom and position prediction, shipped with its full training pipeline.

- Page: https://systemonemodels.ai/tianyu-codings/nanojev
- API: https://api.systemonemodels.ai/v1/models/tianyu-codings/nanojev
- Download: `pip install systemonemodels && systemone pull tianyu-codings/nanojev`

## Facts

| | |
|---|---|
| Maker | TianyuCodings (https://systemonemodels.ai/tianyu-codings) |
| Decides | choice, noul, score |
| Architecture | nanojev |
| Base model | qwen/qwen3-0.6b |
| Parameters | 600M |
| Licence | mit |
| Availability | Open weights |
| Released | 2026-09-17 |
| Latest version | 2026.09 |

## Model card

<!-- generated by scripts/seed_catalog.py; edit content/models/catalog.yaml -->

# NanoJev

A 0.6B replica of the System One idea trained on game environments. A Qwen3-0.6B backbone with an attention-based Choice head that scores a dynamic candidate set for Maze, Snake, ViZDoom and position prediction, shipped with its full training pipeline.

Reported game results: Snake 8/8, ViZDoom Basic 128/128 (Jev 56/128), Maze 4/10 (Jev 7/10). The code is MIT; the Qwen base keeps its own licence. The repository holds 212 files across stage checkpoints and variants; the entry here points at the best checkpoint and tokenizer.

## What it decides

- **choice** — picks one option from a set
- **noul** — answers a yes/no question with one calibrated probability
- **score** — places the input on an ordered scale

## At a glance

| | |
|---|---|
| Parameters | 0.6B |
| Base model | `qwen/qwen3-0.6b` |
| Maker | TianyuCodings |
| Released | 2026-09-17 |
| License | mit |

## Get the weights

```bash
pip install systemonemodels
systemone pull tianyu-codings/nanojev
```

The files are served from the maker's Hugging Face repository, [`C-Tianyu/NanoJev`](https://huggingface.co/C-Tianyu/NanoJev), and verified against the checksums recorded here.

## Read more

- [Source](https://github.com/TianyuCodings/NanoJev)
- [Weights on Hugging Face](https://huggingface.co/C-Tianyu/NanoJev)

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*This page was opened by System One for TianyuCodings, who can claim the organisation and take it over at any time.*

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From System One Models — https://systemonemodels.ai/ · every System One model: https://systemonemodels.ai/system-one-models