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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 | contrastive-lm/clm | aac6fef/laya-mlx |
|---|---|---|
| Summary | Contrastive Language Models score a state against a set of candidate actions with a contrastive objective. Two projection heads on frozen Qwen3-8B embeddings, trained with InfoNCE; clm-serve maps Choice, Score and Noul onto candidate ranking. | 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. |
| Decides | choice, score, noul, rank, classify, route | choice, score, noul |
| Architecture | clm | laya |
| Fine-tuned from | qwen/qwen3-8b | convai-innovations/laya |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | — |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | — | — |
| p95 latency | — | — |
| Evaluation suite | — | — |
| Latest version | 2026.09.25 | 2026.09 |
| Variants | LICENSE | encoder, tokenizer, LICENSE, NOTICE |
| Size of latest version | 72.1 MB | 807.0 MB |
| Files | 3 | 10 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, contrastive, qwen, ranking, 8b | system-one, mlx, apple-silicon, modernbert, conversion, 421m |
| Updated | Sep 26, 2026 | Sep 26, 2026 |