dragon_publish: Push a run's model to the Hugging Face Hub

In dragonfarm: Fine-Tune Small Language Models with LoRA from R

Push a run's model to the Hugging Face Hub

Description

Uploads a run's model as a repo on the Hugging Face Hub, ready for any hosted inference: a dedicated Inference Endpoint behind dragon_backend_server(), transformers-cli, or any tool that loads a model by repo id. The repo is created if it does not exist.

Usage

dragon_publish(
  run,
  repo,
  what = c("merged", "adapter"),
  private = FALSE,
  commit_message = NULL
)

Arguments

run	A dragon_run or run directory.
repo	A repo id, "username/name".
what	What to push. "merged" folds the adapter into the base model first (merging it if that has not been done yet), so the repo loads with plain transformers and needs neither peft nor dragonfarm; this is the usual choice for hosted inference. "adapter" pushes just the LoRA weights: a small, fast upload, but the base model and peft are needed to load it.
private	Create the repo as private.
commit_message	Defaults to a message naming the run and the stage.

Value

The repo URL, invisibly.

Examples

if (interactive()) {
dragon_publish(run, "yourname/support-agent-0.5b")
dragon_publish(run, "yourname/support-agent-0.5b-adapter", what = "adapter")
}

dragonfarm documentation built on Oct. 12, 2026, 5:07 p.m.