Get early access to our LLM fine-tuning API

Be the first to access our complete fine-tuning API—from dataset generation to training and evals.

Simple, but powerful—start experimenting with a few lines of code.

from lightningrod.training import TrainingConfig

config = TrainingConfig(
    input_dataset_id=dataset_id,
    base_model="Qwen/Qwen3-4B-Instruct",
    training_steps=10,
)
job = lr.training.run(config, name="Forecasting fine-tune")

response = client.chat.completions.create(
    model=job.model_id,
    messages=[{"role": "user", "content": "Will the Fed cut rates in March 2026?"}]
)