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What each one decides, how well calibrated it is, how fast it answers and what it costs to pull. Up to 4 at a time; the better value in each row is marked.
| Property | akhilaaa3/jev-omni | tianyu-codings/nanojev |
|---|---|---|
| Summary | A multimodal decision classifier over text, image, audio and video on Gemma 4 12B, fine-tuned on 30,000 questions. Returns a probability per option and generates nothing. | 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. |
| Decides | choice, noul, score, classify | choice, noul, score |
| Architecture | jev-omni | nanojev |
| Fine-tuned from | google/gemma-4-12b-it | qwen/qwen3-0.6b |
| License | apache-2.0 | mit |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | 87.6% | — |
| Calibration error | 0.040 | — |
| Valid action rate | — | — |
| Median latency | 83 ms | — |
| p95 latency | — | — |
| Evaluation suite | DecisionBench Medium (author's set) | — |
| Latest version | 2026.09 | 2026.09 |
| Variants | unified | tokenizer |
| Size of latest version | 22.3 GB | 2.2 GB |
| Files | 6 | 2 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, multimodal, gemma, vision, audio, 12b | system-one, games, qwen, research, 0.6b |
| Updated | Sep 26, 2026 | Sep 26, 2026 |