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Berget AI: bev and Dimitris Papadopoulos: biodecision, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | berget-ai/bev | lighteternal/biodecision |
|---|---|---|
| Summary | Berget AI's System One model for gating agent commands: a LoRA adapter and a fine-tuned joint schema head on Cloudflare's Clef-Flash that answer noul, choice and score questions over a state in one forward pass. Trained on Swedish and English operations decisions. | A 4B biomedical decision model by Dimitris Papadopoulos: Qwen3.5-4B tuned with Together AI's Tev1 recipe on 1.75M pharma, clinical-trial and literature decisions. One forward pass gives a temperature-scaled probability per option. Research use only. |
| Decides | noul, choice, score | choice, score, noul, classify |
| Architecture | clef | biodecision |
| Fine-tuned from | cloudflare/clef-flash | qwen/qwen3.5-4b |
| License | apache-2.0 | Research use only (several training sources are non-commercial); not validated for patient care |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | 97.0% | 75.3% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | — | 39 ms |
| p95 latency | — | — |
| Evaluation suite | Berget held-out risk split (16,902 questions; same operations-traffic corpora as training) | BioDecision v2 held-out test set (63,432 overlap-screened decisions from public biomedical benchmarks; the maker's own split) |
| Latest version | 2026.09 | 2.0.0 |
| Variants | — | LICENSE |
| Size of latest version | 339.0 MB | 8.7 GB |
| Files | 3 | 15 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, lora, clef, guardrails, safety, swedish, 9b | system-one, qwen, biomedical, clinical-trials, jev-inspired, research-only, 4b |
| Updated | Oct 7, 2026 | Oct 7, 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.
bev is from Berget AI and biodecision from Dimitris Papadopoulos. Both have open weights you can download and run. Both answer noul, choice and score questions. Only biodecision answers classify. biodecision is the smaller model, at 4.0B parameters to 9.0B. bev is licensed apache-2.0; biodecision, other.
They report on different suites — bev 97.0% on Berget held-out risk split (16,902 questions; same operations-traffic corpora as training), biodecision 75.3% on BioDecision v2 held-out test set (63,432 overlap-screened decisions from public biomedical benchmarks; the maker's own split) — so the numbers do not rank them. Test both on your own labelled examples.
bev: Free (open weights). biodecision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull berget-ai/bev and systemone pull lighteternal/biodecision download the weights.