Loading comparison…
COMPARE
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 | fastino-labs/gliner2-5-decide |
|---|---|---|
| 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. | 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. |
| Decides | choice, score, noul, rank, classify, route | choice, score, noul, classify, extract, route |
| Architecture | clm | gliner2 |
| Fine-tuned from | qwen/qwen3-8b | fastino/gliner2-large-v1 |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights + hosted API |
| 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 | 2026.09.25 |
| Variants | LICENSE | encoder_config |
| Size of latest version | 72.1 MB | 1.8 GB |
| Files | 3 | 6 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, contrastive, qwen, ranking, 8b | system-one, encoder, deberta, extraction, gliner, 340m |
| Updated | Sep 26, 2026 | Sep 26, 2026 |