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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 | alibi-serikbay/jevk5 |
|---|---|---|
| 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. | Qwen3.5-4B with a merged rank-16 LoRA distilled from 17,408 teacher questions and 30,000 public training rows, read out as a temperature-scaled softmax over answer-letter logits. Also in 9B, 2B and GGUF. |
| Decides | choice, score, noul, rank, classify, route | choice, score, noul, classify, route |
| Architecture | clm | jevk5 |
| Fine-tuned from | qwen/qwen3-8b | qwen/qwen3.5-4b |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 78.4% |
| Calibration error | — | 0.035 |
| Valid action rate | — | — |
| Median latency | — | 13.2 ms |
| p95 latency | — | — |
| Evaluation suite | — | JevBench public hard tier |
| Latest version | 2026.09.25 | 0.3.0 |
| Variants | LICENSE | SHA256SUMS |
| Size of latest version | 72.1 MB | 7.9 GB |
| Files | 3 | 8 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, contrastive, qwen, ranking, 8b | system-one, qwen, lora, distilled, 4b |
| Updated | Sep 26, 2026 | Sep 26, 2026 |