dragon_remote_providers: Cloud GPU providers
In dragonfarm: Fine-Tune Small Language Models with LoRA from R
dragon_remote_providers R Documentation
Cloud GPU providers
Description
Machines without a GPU can still fine-tune: dragon_bundle() packages a
run as a zip, dragon_remote() opens one of these providers with the
dragon-farm notebook, and dragon_import() brings the trained adapter
back. Google Colab and Kaggle have free GPU tiers. Lightning AI gives free
monthly credits. RunPod is pay per hour.
Usage
dragon_remote_providers()
Value
A data frame with one row per provider: provider (the id to pass
to dragon_remote()), name, cost, and opens (what the link opens).
Examples
dragon_remote_providers()
dragonfarm documentation built on Oct. 12, 2026, 5:07 p.m.
R Package Documentation
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| dragon_remote_providers | R Documentation |
Cloud GPU providers
Description
Machines without a GPU can still fine-tune: dragon_bundle() packages a
run as a zip, dragon_remote() opens one of these providers with the
dragon-farm notebook, and dragon_import() brings the trained adapter
back. Google Colab and Kaggle have free GPU tiers. Lightning AI gives free
monthly credits. RunPod is pay per hour.
Usage
dragon_remote_providers()
Value
A data frame with one row per provider: provider (the id to pass
to dragon_remote()), name, cost, and opens (what the link opens).
Examples
dragon_remote_providers()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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