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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 | fastino-labs/gliner2-5-decide | tianyu-codings/nanojev |
|---|---|---|
| Summary | Fastino's open-weight decision model. A DeBERTa-v3-large encoder that scores label sets supplied at runtime, answers single-label, multi-label, yes/no and ordinal questions in one pass, and extracts spans and relations. | 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, score, noul, classify, extract, route | choice, noul, score |
| Architecture | gliner2 | nanojev |
| Fine-tuned from | fastino/gliner2-large-v1 | qwen/qwen3-0.6b |
| License | apache-2.0 | mit |
| Availability | Open weights + hosted API | Open weights |
| Hosted by | Fastino | — |
| Input price | — | — |
| Decision accuracy | 60.2% | — |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | 38.3 ms | — |
| p95 latency | — | — |
| Evaluation suite | Fastino fast-decisions suite (17 datasets) | — |
| Latest version | 2026.09.25 | 2026.09 |
| Variants | encoder_config | tokenizer |
| Size of latest version | 1.8 GB | 2.2 GB |
| Files | 6 | 2 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, encoder, deberta, extraction, gliner, 340m | system-one, games, qwen, research, 0.6b |
| Updated | Sep 26, 2026 | Sep 26, 2026 |