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Contrastive-LM: clm and Frontier Infra: jebadiah, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | contrastive-lm/clm | frontier-infra/jebadiah |
|---|---|---|
| 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. | Frontier Infra's open decision model. A LoRA merged into Qwen3.8-27B (thinking off) that answers one typed question per forward pass with a probability over the option labels, served through AINode's TypeSafe-compatible /v1/systemone. |
| Decides | choice, score, noul, rank, classify, route | choice, score, noul, classify, route |
| Architecture | clm | jebadiah |
| Fine-tuned from | qwen/qwen3-8b | qwen/qwen3.8-27b |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 86.6% |
| Calibration error | — | 0.113 |
| Valid action rate | — | — |
| Median latency | — | — |
| p95 latency | — | — |
| Evaluation suite | — | JevBench public set (231 items), maker's run with the v1.4.2 harness; ECE on the hard tier |
| Latest version | 2026.09.25 | 2026.09 |
| Variants | LICENSE | eval, LICENSE, scripts |
| Size of latest version | 72.1 MB | 51.8 GB |
| Files | 3 | 63 |
| Downloads | 5 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, contrastive, qwen, ranking, 8b | system-one, qwen, lora, jevbench, gguf, mlx, 27b |
| Updated | Sep 30, 2026 | Sep 30, 2026 |
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
clm is from Contrastive-LM and jebadiah from Frontier Infra. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. Only clm answers rank. clm is the smaller model, at 8.0B parameters to 27B.
Only jebadiah publishes an accuracy figure (86.6% on JevBench public set (231 items), maker's run with the v1.4.2 harness; ECE on the hard tier); clm does not, so there is no comparison to make without your own test.
clm: Free (open weights). jebadiah: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull contrastive-lm/clm and systemone pull frontier-infra/jebadiah download the weights.