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Quickstart: Supervised Fine-Tuning (SFT)

This runs a small LoRA SFT example using a YAML config.

1) Pick an example config​

Example configs are in examples/sft/.

A reasonable default starting point:

  • examples/sft/qwen3-lora-bf16.yaml

2) Run​

surogate sft examples/sft/qwen3-lora-bf16.yaml

If you use uv and want to guarantee you’re running inside the project environment:

uv run surogate sft examples/sft/qwen3-lora-bf16.yaml

3) Outputs​

Your run outputs (checkpoints, logs, artifacts) are written under the config’s output_dir.

Notes​

  • For private Hugging Face models/datasets, pass --hub_token.

See also​