# Worthify AI: decision-1

> Gemma 4 12B, fully fine-tuned by Worthify to pick one of 2 to 16 options the application supplies. It reads the answer from one forward pass, with a score per option. A single-seed research preview; the scores are not calibrated and are not probabilities.

- Page: https://systemonemodels.ai/worthify/decision-1
- API: https://api.systemonemodels.ai/v1/models/worthify/decision-1
- Download: `pip install systemonemodels && systemone pull worthify/decision-1`

## Facts

| | |
|---|---|
| Maker | Worthify AI (https://systemonemodels.ai/worthify) |
| Decides | choice, route |
| Architecture | worthify-decision |
| Base model | google/gemma-4-12b-it |
| Parameters | 12B |
| Context | 2K tokens |
| Licence | apache-2.0 |
| Availability | Open weights |
| Released | 2026-09-24 |
| Latest version | 2026.09 |

## Model card

<!-- generated by scripts/seed_catalog.py; edit content/models/catalog.yaml -->

# Worthify Decision-1

Gemma 4 12B, fully fine-tuned by Worthify to pick one of 2 to 16 options the application supplies. It reads the answer from one forward pass, with a score per option. A single-seed research preview; the scores are not calibrated and are not probabilities.

Full-weight training of all 11.9B text parameters (one seed, two epochs) on CLINC150 routing, WANLI and MNLI evidence and authored fixtures. The readout is the last-position logits restricted to the option slots; at most 16 options, inputs validated up to 2,048 tokens. On Worthify's sealed held-out test the intent-routing macro-F1 is 67.29% (frozen Gemma: 62.21%); the authored and menu families score 100%, which the card says are bounded fixtures. On BANKING77 converted to 16-option menus, scored post hoc, it gets 87.60% against 87.89% for the original Gemma, and it regresses against Gemma on a CTU-13 counterexample. Batch grouping changes logits, and the NF4 path can choose differently from BF16. Not calibrated; no TypeSafe API compatibility is claimed. The training datasets keep their own terms. The companion code is MIT and derives from OpenJev.

## What it decides

- **choice** — picks one option from a set
- **route** — sends the input to one of several destinations

## At a glance

| | |
|---|---|
| Parameters | 11.9B |
| Base model | `google/gemma-4-12B-it` |
| Maker | Worthify AI |
| Released | 2026-09-24 |
| License | apache-2.0 |

## Get the weights

```bash
pip install systemonemodels
systemone pull worthify/decision-1
```

The files are served from the maker's Hugging Face repository, [`Worthify/Decision-1`](https://huggingface.co/Worthify/Decision-1), and verified against the checksums recorded here.

## Read more

- [Model card](https://huggingface.co/Worthify/Decision-1)
- [Code](https://github.com/Worthify-AI/worthify-decision-1)

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

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