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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 | iapp-technology/openthai-systemone |
|---|---|---|
| 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 Thai-and-English System One model. Qwen3.5-0.8B continued-pretrained on about 5B Thai tokens, its language-model head replaced by a 256-way slot head (slot 255 abstains), trained on 2–3M decision examples and temperature-calibrated per question type. |
| Decides | choice, score, noul | choice, score, noul, classify, route |
| Architecture | laya | openthai |
| Fine-tuned from | convai-innovations/laya | qwen/qwen3.5-0.8b-base |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 74.3% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | — | 40 ms |
| p95 latency | — | — |
| Evaluation suite | — | Bespoke public subsets (13, macro average) |
| Latest version | 2026.09 | 0.3.0 |
| Variants | encoder, tokenizer, LICENSE, NOTICE | — |
| Size of latest version | 807.0 MB | 1.4 GB |
| Files | 10 | 2 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, mlx, apple-silicon, modernbert, conversion, 421m | system-one, thai, multilingual, qwen, 0.8b |
| Updated | Sep 26, 2026 | Sep 26, 2026 |