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.
A ModernBERT-large encoder with an option-marker head. Premise and options are packed into one sequence and each option's marker is scored in a single bidirectional pass; version 1.2 makes the scoring order-invariant.
Decides
choice, noul, score
choice, score, noul, classify
Architecture
nanojev
von
Fine-tuned from
qwen/qwen3-0.6b
answerdotai/modernbert-large
License
mit
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
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63.9%
Calibration error
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0.045
Valid action rate
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Median latency
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18 ms
p95 latency
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Evaluation suite
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between nanojev and von?
nanojev is from TianyuCodings and von from wfzyx. Both have open weights you can download and run. Both answer choice, noul and score questions. Only von answers classify. von is the smaller model, at 395M parameters to 600M. nanojev is licensed mit; von, apache-2.0.
Which is more accurate, nanojev or von?
Only von publishes an accuracy figure (63.9% on JevBench public standard tier); nanojev does not, so there is no comparison to make without your own test.
Which is cheaper, nanojev or von?
nanojev: Free (open weights). von: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run nanojev or von locally?
Yes, both: systemone pull tianyu-codings/nanojev and systemone pull wfzyx/von download the weights.
