# Dimitris Papadopoulos: biodecision

> 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.

- Page: https://systemonemodels.ai/lighteternal/biodecision
- API: https://api.systemonemodels.ai/v1/models/lighteternal/biodecision
- Download: `pip install systemonemodels && systemone pull lighteternal/biodecision`

## Facts

| | |
|---|---|
| Maker | Dimitris Papadopoulos (https://systemonemodels.ai/lighteternal) |
| Decides | choice, score, noul, classify |
| Architecture | biodecision |
| Base model | qwen/qwen3.5-4b |
| Parameters | 4.0B |
| Licence | Research use only (several training sources are non-commercial); not validated for patient care |
| Availability | Open weights |
| Released | 2026-09-28 |
| Latest version | 2.0.0 |

## Reported evaluation

Suite: BioDecision v2 held-out test set (63,432 overlap-screened decisions from public biomedical benchmarks; the maker's own split). Numbers are the publisher's own.

- Decision accuracy: 75.3%

- Median latency: 39 ms

## Model card

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# BioDecision-4B v2

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.

Jev-inspired: trained with Together AI's Tev1 recipe to put its answer on a single option letter. Takes TypeSafe's systemone request format (choice with 2 to 24 options, yes/no and score) and ships an example server. Temperatures are fitted per task family; no calibration error is reported for v2. In the maker's own tests it scores 75.3% on 63,432 overlap-screened held-out decisions, against 69.4% for v1. Answers change on 6.9% of decisions when options are reordered; about 8.5% of training rows contain LLM-written material. Research use only because several training sources are non-commercial, so it is not mirrored or packaged here. Not validated for patient care.

## What it decides

- **choice** — picks one option from a set
- **score** — places the input on an ordered scale
- **noul** — answers a yes/no question with one probability
- **classify** — assigns a category from a fixed taxonomy

## At a glance

| | |
|---|---|
| Parameters | 4B |
| Base model | `qwen/qwen3.5-4b` |
| Maker | Dimitris Papadopoulos |
| Released | 2026-09-28 |
| License | Research use only (several training sources are non-commercial); not validated for patient care |
| Reported accuracy | 75.3% |
| Reported latency | 39 ms median per decision with vLLM on one A100 80GB, bf16 |

## Get the weights

```bash
pip install systemonemodels
systemone pull lighteternal/biodecision
```

The files are served from the maker's Hugging Face repository, [`lighteternal/biodecision-v2-4b`](https://huggingface.co/lighteternal/biodecision-v2-4b), and verified against the checksums recorded here.

## Read more

- [Model card (v2)](https://huggingface.co/lighteternal/biodecision-v2-4b)
- [BioDecision v1](https://huggingface.co/lighteternal/biodecision-tev1-4b)

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*This page was opened by System One for Dimitris Papadopoulos, who can claim the organisation and take it over at any time.*

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From System One Models — https://systemonemodels.ai/ · every System One model: https://systemonemodels.ai/system-one-models