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Fine-tuning LLaMA models: GPU requirements and costs

Fine-tuning LLaMA models: GPU rental requirements, VRAM needs, and pricing for AI model training on our GPU hosting platform.

6 min read

Fine-tuning LLaMA (or similar LLMs) needs enough GPU memory and the right software. Here's a practical guide.

Hardware requirements

7B models can fine-tune on a single 24 GB GPU (e.g. RTX 4090); 13B often needs 40 GB or more. LoRA/QLoRA reduces memory so you can run larger models on smaller GPUs. Multi-GPU speeds up training but adds cost—only go there when single-GPU is the bottleneck.

Costs on Oneraap

We offer GPU rentals by the hour and month. You pay for the time the instance is on. Fine-tune for a few hours, save your weights, then shut down. No long-term lock-in. We can help you pick a GPU tier that matches your model size and budget.

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