Train
Fine-tune a model
LoRA fine-tuning as a serverless GPU job. You pay for the GPU minutes, with an hourly provisioning floor — the estimate below shows exactly what.
Base model
allowlisted · known-goodDataset
JSONL · one {"messages": [...]} sample per line · 50–10,000 samples · ≤ 5 MiB
Hyperparameters
Defaults are sane for most chat datasets: rank 16, alpha 32, 3 epochs, lr 0.0002.
Name & launch
Connect a wallet to start a training run.
Cost estimate
estimateGPU tierGPU-S · 24 GB VRAM
Rate$0.240/hr ($0.004/min)
Billing floor60 min minimum
Estimated duration~508–1220 min
Estimated total$2.03 – $4.88
Duration is an estimate from your dataset size; you are billed for actual GPU minutes (with the floor). The hold at launch covers the high estimate — the remainder is released at settlement.
Your training runs
No training runs yet.