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Dimitris Papadopoulos: biodecision and solvi: solvi, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | lighteternal/biodecision | solvi-ai/solvi |
|---|---|---|
| Summary | 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. | A 396M ModernBERT-large cross-encoder that answers typed questions about a text or a JSON state: one or several options, scores, yes/no with "not stated", spans with evidence quotes, rankings and numeric bins, each with a confidence and an act-or-escalate signal. |
| Decides | choice, score, noul, classify | choice, score, noul, rank, extract |
| Architecture | biodecision | solvi |
| Fine-tuned from | qwen/qwen3.5-4b | answerdotai/modernbert-large |
| License | Research use only (several training sources are non-commercial); not validated for patient care | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | 75.3% | 59.4% |
| Calibration error | — | 0.210 |
| Valid action rate | — | — |
| Median latency | 39 ms | — |
| p95 latency | — | — |
| Evaluation suite | BioDecision v2 held-out test set (63,432 overlap-screened decisions from public biomedical benchmarks; the maker's own split) | Fast Decisions public dev split (100 rows x 17 domains, macro), the maker's own harness, zero-shot |
| Latest version | 2.0.0 | 2026.09 |
| Variants | LICENSE | onnx |
| Size of latest version | 8.7 GB | 2.2 GB |
| Files | 15 | 11 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, qwen, biomedical, clinical-trials, jev-inspired, research-only, 4b | system-one, modernbert, cross-encoder, onnx, evidence, escalation, 396m |
| 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.
biodecision is from Dimitris Papadopoulos and solvi from solvi. Both have open weights you can download and run. Both answer choice, score and noul questions. Only biodecision answers classify. Only solvi answers rank and extract. solvi is the smaller model, at 396M parameters to 4.0B. biodecision is licensed other; solvi, apache-2.0.
They report on different suites — biodecision 75.3% on BioDecision v2 held-out test set (63,432 overlap-screened decisions from public biomedical benchmarks; the maker's own split), solvi 59.4% on Fast Decisions public dev split (100 rows x 17 domains, macro), the maker's own harness, zero-shot — so the numbers do not rank them. Test both on your own labelled examples.
biodecision: Free (open weights). solvi: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull lighteternal/biodecision and systemone pull solvi-ai/solvi download the weights.