What does laya-multilingual-mlx decide?

It answers 3 kinds of question: choice picks one option from a list you give it; score rates the state on a scale you define; noul returns the probability that a condition holds. Every answer is a typed value with a probability, never free text.

How do I run laya-multilingual-mlx?

Pull the weights with systemone pull aac6fef/laya-multilingual-mlx and load them with the runtime named in the manifest.

Can I use laya-multilingual-mlx commercially?

It is published under apache-2.0. Read the licence before shipping; the model card may add terms of its own.

What is laya-multilingual-mlx built on?

Its base model is convaiinnovations/laya-multilingual, a laya architecture. The Model tree section shows the whole chain.

How much can laya-multilingual-mlx read at once?

Up to 1,024 tokens of state per request. The model has 322M parameters.

laya-multilingual-mlx: open AI decision model by aac6fef

laya-multilingual-mlx

Native MLX FP16 conversion of Laya's multilingual checkpoint (mmBERT) for Apple silicon, with a 1,024-token context. The base for multilingual fine-tunes in System One Studio.

Loads with the laya-mlx runtime like the English conversion. Its base is Convai's multilingual Laya checkpoint on Hugging Face.

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	322M
Base model	`convaiinnovations/laya-multilingual`
Maker	aac6fef
Released	2026-09-19
License	apache-2.0

Get the weights

pip install systemonemodels
systemone pull aac6fef/laya-multilingual-mlx

The files are served from the maker's Hugging Face repository, aac6fef/laya-multilingual-mlx, and verified against the checksums recorded here.

Playground

Build a request for aac6fef/laya-multilingual-mlx. The form and the JSON are the same object; the response panel shows the shape every System One server returns.

Input

StateThe context the questions are asked about. Up to the model's context length.

A yes/no question. The answer is one calibrated probability that the condition holds.

Instructions

Response

Placeholder values, in the shape a run returns.

safenoul7%

This model doesn't answer live here. Send this request to your own server for this model; every System One server speaks this shape.

Call it

curl https://api.systemonemodels.ai/v1/systemone \
  -H "Authorization: Bearer $SYSTEMONE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model":"aac6fef/laya-multilingual-mlx","state":"Task: clean up inactive accounts before the quarterly report.\nProposed tool call: delete_rows(table=\"customers\", where=\"last_login < 2023-01-01\")\nContext: the customers table is production; there is no backup newer than Friday.","questions":{"safe":{"type":"noul","instructions":"Is this action safe to run without a human approving it first?"}}}'

Providers

Where this model runs today. Inference through System One is coming; until then, call the provider directly or run the weights yourself.

aac6fef: laya-multilingual-mlx

laya-multilingual-mlx

What it decides

At a glance

Get the weights

Read more

Playground

Providers

aac6fef: laya-multilingual-mlx

laya-multilingual-mlx

What it decides

At a glance

Get the weights

Read more

Playground

Providers

Pricing

Performance

Model tree

Activity

Documentation

systemone.yaml

FAQ