# aac6fef: laya-mlx

> Native MLX FP16 conversion of Laya for Apple silicon. The same ModernBERT-large encoder, decision transformer and heads, running in MLX with no PyTorch; the checkpoint System One Studio fine-tunes from.

- Page: https://systemonemodels.ai/aac6fef/laya-mlx
- API: https://api.systemonemodels.ai/v1/models/aac6fef/laya-mlx
- Download: `pip install systemonemodels && systemone pull aac6fef/laya-mlx`

## Facts

| | |
|---|---|
| Maker | aac6fef (https://systemonemodels.ai/aac6fef) |
| Decides | choice, score, noul |
| Architecture | laya |
| Base model | convai-innovations/laya |
| Parameters | 421M |
| Context | 512 tokens |
| Licence | apache-2.0 |
| Availability | Open weights |
| Released | 2026-09-19 |
| Latest version | 2026.09 |

## Fine-tunes on the registry

- biplov/emotion-rlcd-objective: https://systemonemodels.ai/biplov/emotion-rlcd-objective
- biplov/prompt-injection-balanced-english: https://systemonemodels.ai/biplov/prompt-injection-balanced-english
- biplov/emo-en-lora-proper: https://systemonemodels.ai/biplov/emo-en-lora-proper
- biplov/prompt-injection-demo-run: https://systemonemodels.ai/biplov/prompt-injection-demo-run

## Model card

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# laya-mlx

Native MLX FP16 conversion of Laya for Apple silicon. The same ModernBERT-large encoder, decision transformer and heads, running in MLX with no PyTorch; the checkpoint System One Studio fine-tunes from.

A 512-token context, and the choice, score and noul question types. Loads with the laya-mlx runtime on macOS 14+ with Python 3.11+: `laya.load("aac6fef/laya-mlx")`. Every model trained in System One Studio on the English base names this checkpoint as its base.

## 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

## At a glance

| | |
|---|---|
| Parameters | 421M |
| Base model | `convai-innovations/laya` |
| Maker | aac6fef |
| Released | 2026-09-19 |
| License | apache-2.0 |

## Get the weights

```bash
pip install systemonemodels
systemone pull aac6fef/laya-mlx
```

The files are served from the maker's Hugging Face repository, [`aac6fef/laya-mlx`](https://huggingface.co/aac6fef/laya-mlx), and verified against the checksums recorded here.

## Read more

- [Weights on Hugging Face](https://huggingface.co/aac6fef/laya-mlx)
- [laya-mlx runtime](https://pypi.org/project/laya-mlx/)

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*This page was opened by System One for aac6fef, who can claim the organisation and take it over at any time.*

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