FOR ANYONE WHO TRAINS MODELS ON A MACHINE THEY ALREADY HAVE

You write a YAML file. Your machine trains the model

A local CLI

$ troy train job.yaml

model: llama-8b
data: ./corpus
steps: 1000
optimizer: adamw
learning_rate: 0.001
batch_size: 32

Write the job. Run it on the machine you already have.

Troy is a CLI you install locally. Training is specified in a YAML file, not in a notebook, a dashboard, or a rented cluster.

job.yaml: Write the runModel, data path, steps. The file is the whole interface.
troy train: Hand it to TroyOne command. No pipeline to assemble.
your machine: Training happens hereWeights, data, and compute stay on the machine you own.

The example on this page is labeled synthetic. Replace it with your model, your corpus, your steps. Troy does not invent a hosted trainer around it.

There is no GitHub URL or install script published yet. The command you copy is the verb: troy train job.yaml.

Proof (customers, benchmarks, a public binary) does not exist yet. This page will not invent it.