# akhilaaa3: jev-omni

> A multimodal decision classifier over text, image, audio and video on Gemma 4 12B, fine-tuned on 30,000 questions. Returns a probability per option and generates nothing.

- Page: https://systemonemodels.ai/akhilaaa3/jev-omni
- API: https://api.systemonemodels.ai/v1/models/akhilaaa3/jev-omni
- Download: `pip install systemonemodels && systemone pull akhilaaa3/jev-omni`

## Facts

| | |
|---|---|
| Maker | akhilaaa3 (https://systemonemodels.ai/akhilaaa3) |
| Decides | choice, noul, score, classify |
| Architecture | jev-omni |
| Base model | google/gemma-4-12b-it |
| Parameters | 12B |
| Licence | apache-2.0 |
| Availability | Open weights |
| Released | 2026-09-20 |
| Latest version | 2026.09 |

## Reported evaluation

Suite: DecisionBench Medium (author's set). Numbers are the publisher's own.

- Decision accuracy: 87.6%
- Calibration error (ECE): 0.040
- Median latency: 83 ms

## Model card

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

# Jev-Omni

A multimodal decision classifier over text, image, audio and video on Gemma 4 12B, fine-tuned on 30,000 questions. Returns a probability per option and generates nothing.

On its own DecisionBench Medium it scores 87.6% with a calibration error of 0.040, and 86.2% on the matched JevBench subset. Latency on a warm H200: 83 ms for about 2,000 text tokens, 26 ms per image, 31 ms audio, 504 ms video; it is best with 20 options or fewer. The card declares Apache-2.0, the licence Gemma 4 itself is released under. The unified checkpoint is 24 GB; FP32 backbone shards add about 50 GB. Community GGUF and MLX quantisations exist.

## What it decides

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

## At a glance

| | |
|---|---|
| Parameters | 12B |
| Base model | `google/gemma-4-12b-it` |
| Maker | akhilaaa3 |
| Released | 2026-09-20 |
| License | apache-2.0 |
| Reported accuracy | 87.6% |
| Reported latency | 83 ms text, 26 ms image, 31 ms audio, 504 ms video on a warm H200 |

## Get the weights

```bash
pip install systemonemodels
systemone pull akhilaaa3/jev-omni
```

The files are served from the maker's Hugging Face repository, [`akhilaaa3/Jev-Omni`](https://huggingface.co/akhilaaa3/Jev-Omni), and verified against the checksums recorded here.

## Read more

- [Weights on Hugging Face](https://huggingface.co/akhilaaa3/Jev-Omni)

---

*This page was opened by System One for akhilaaa3, who can claim the organisation and take it over at any time.*

---

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