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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 | akhilaaa3/jev-omni |
|---|---|---|
| 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. | A multimodal decision classifier over text, image, audio and video on Gemma 4 12B, fine-tuned on 30,000 questions. Returns a probability per option and generates nothing. |
| Decides | choice, score, noul, rank, classify, route | choice, noul, score, classify |
| Architecture | clm | jev-omni |
| Fine-tuned from | qwen/qwen3-8b | google/gemma-4-12b-it |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 87.6% |
| Calibration error | — | 0.040 |
| Valid action rate | — | — |
| Median latency | — | 83 ms |
| p95 latency | — | — |
| Evaluation suite | — | DecisionBench Medium (author's set) |
| Latest version | 2026.09.25 | 2026.09 |
| Variants | LICENSE | unified |
| Size of latest version | 72.1 MB | 22.3 GB |
| Files | 3 | 6 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, contrastive, qwen, ranking, 8b | system-one, multimodal, gemma, vision, audio, 12b |
| Updated | Sep 26, 2026 | Sep 26, 2026 |