Fine-tune open models
Dataset Lab inspects the file, then you pick a model and train LoRA/QLoRA on community GPUs. Pay per job — not for idle capacity.
Fine-tune open models on community GPUs. Pay per job. CUDA and ROCm aware — without a cloud account, YAML, or terminal.
openreef.network · pay per job · real providers
The platform
No agent factory. No fake capacity. Fine-tune is live on OpenGPU; the Lab grows as new tools ship.
Dataset Lab inspects the file, then you pick a model and train LoRA/QLoRA on community GPUs. Pay per job — not for idle capacity.
Jobs route to real NVIDIA and AMD providers. SmartRoute finds capacity; settlement and refunds follow a clear job lifecycle.
Playground and other tools land in the same workspace as they ship. Enter the Lab; pick what you need.
Fine-tune
The path that already runs in production — simple on purpose.
Inspect CSV/JSONL/TXT, map columns, pin eval rows. Nothing trains until the file is valid.
Open base models with Fast, Balanced, or Custom (epochs, LR, context, LoRA).
SmartRoute places the job on the OpenGPU network. No cloud GPU account.
When training finishes, get a secure download. Pay only what the job used.
DetectMap & cleanPin evalNo model reads your data. You only pay after the file is trainable. How Dataset Lab checks a file
Why OpenReef
Each piece stands alone. Together they form a lab on decentralized GPUs.
A guided job flow instead of Docker, training configs and cluster scripts.
Real providers on OpenGPU — NVIDIA and AMD — with transparent job status.
See price before confirm. Refund policy on failure. No monthly GPU tax.
Fine-tune is live. The Lab shell will host playground and future tools without a second product.
Create an account and open the workspace. Fine-tune is available today; more lab tools land as they ship — without a second product to learn.