MoArk AI

FINE-TUNING

Build Specialized AI with Production-Grade Efficiency

Turn generic base models into domain experts. Achieve lower latency, reduced costs, and superior accuracy by owning your model weights.

Why Fine-tune

Improve model quality with custom fine tuning

General large models (Base Models) are knowledgeable but not deeply specialized. Through MoArk's fine-tuning service, you can have the model "master" your private data and business logic, achieving great results with little effort.

Key Features

Simplify complex AI workflows

Zero-Ops Training

Launch training jobs in clicks, no GPU setup or infrastructure required.

Instant Deployment

Models are immediately available as scalable API endpoints upon completion.

SOTA Compatibility

Native support for LoRA, QLoRA, and the latest open-source architectures.

Data Sovereignty

Your data stays private-strict isolation and security guaranteed.

How It Works

Easily complete in 3 simple steps

Upload your dataset

Submit your dataset in standard JSONL format, or upload your data file directly.

Tune and track

Choose a model, configure training, and monitor it in real time.

Deploy and serve

Call your new custom model immediately via our OpenAI-compatible API.

* LoRA direct deployment is coming soon.

Built for development. Trusted in production.

AI pioneers train, fine-tune, and run frontier models on our GPU cloud platform.

Improve model quality with custom fine tuning

Simplify complex AI workflows

Easily complete in 3 simple steps

Built for development. Trusted in production.

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