# Supersonic Labs: julia-1

> A 144M-parameter System One model on the multilingual mmBERT-small encoder. Takes a state, a question and 2 to 20 options and returns one decision with probabilities for choice, score and yes/no questions, on a CPU.

- Page: https://systemonemodels.tech/supersonic-labs/julia-1
- API: https://api.systemonemodels.tech/v1/models/supersonic-labs/julia-1
- Download: `pip install systemonemodels && systemone pull supersonic-labs/julia-1`

## Facts

| | |
|---|---|
| Maker | Supersonic Labs (https://systemonemodels.tech/supersonic-labs) |
| Decides | choice, score, noul, classify, route |
| Architecture | julia |
| Base model | jhu-clsp/mmbert-small |
| Parameters | 144M |
| Context | 8K tokens |
| Licence | apache-2.0 |
| Availability | Open weights |
| Released | 2026-09-23 |
| Latest version | 2026.09 |

## Reported evaluation

Suite: typed-decisions test set (400 cases, 2,000 questions). Numbers are the publisher's own.

- Decision accuracy: 73.2%

## Model card

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# Julia 1

A 144M-parameter System One model on the multilingual mmBERT-small encoder. Takes a state, a question and 2 to 20 options and returns one decision with probabilities for choice, score and yes/no questions, on a CPU.

Supersonic Labs reports 73.15% on the typed-decisions test set (400 cases, 2,000 questions), against 72.70% for Jev on the same set: choice 71.3%, yes/no 80.7%, score 68.9%. On MASSIVE scenario classification it reaches 71.5% across 52 locales. The runtime accepts 8,192 combined tokens (the benchmarks used 1,024) and 2 to 20 options of up to 48 tokens each. It loads through the repository's own Python package rather than Transformers; an ONNX and WebGPU export is published as SupersonicLabs/Julia-1-ONNX.

## 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 calibrated probability
- **classify** — assigns a category from a fixed taxonomy
- **route** — sends the input to one of several destinations

## At a glance

| | |
|---|---|
| Parameters | 144M |
| Base model | `jhu-clsp/mmbert-small` |
| Maker | Supersonic Labs |
| Released | 2026-09-23 |
| License | apache-2.0 |
| Reported accuracy | 73.2% |

## Get the weights

```bash
pip install systemonemodels
systemone pull supersonic-labs/julia-1
```

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

## Read more

- [Weights and runtime on Hugging Face](https://huggingface.co/SupersonicLabs/Julia-1)
- [ONNX and WebGPU](https://huggingface.co/SupersonicLabs/Julia-1-ONNX)
- [Supersonic Labs](https://supersoniclabs.ia.br)

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