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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 | aac6fef/laya-mlx | wfzyx/von |
|---|---|---|
| Summary | Native MLX FP16 conversion of Laya for Apple silicon. The same ModernBERT-large encoder, decision transformer and heads, running in MLX with no PyTorch; the checkpoint Laya Studio fine-tunes from. | 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, score, noul | choice, score, noul, classify |
| Architecture | laya | von |
| Fine-tuned from | convai-innovations/laya | answerdotai/modernbert-large |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 63.9% |
| Calibration error | — | 0.045 |
| Valid action rate | — | — |
| Median latency | — | 18 ms |
| p95 latency | — | — |
| Evaluation suite | — | JevBench public standard tier |
| Latest version | 2026.09 | 1.2.0 |
| Variants | encoder, tokenizer, LICENSE, NOTICE | — |
| Size of latest version | 807.0 MB | 2.9 GB |
| Files | 10 | 2 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, mlx, apple-silicon, modernbert, conversion, 421m | system-one, encoder, modernbert, 395m |
| Updated | Sep 26, 2026 | Sep 26, 2026 |