Fine-tuning

Customize open weights models with your data. Own the means of model production with Modal's scalable, containerized infrastructure.

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Scalable on-demand resources

Finish your hyperparameter sweeps 100x faster. Scale up to hundreds of multi-GPU training runs in just a few seconds with a single function call, only paying for the compute you use.

Store private datasets and model weights in modal.Volumes as easily as writing to local disk.

Full control and autonomy

Use your favorite ML frameworks, like Hugging Face, PyTorch, and axolotl, or write your own code. Own your models and focus on making them better, not writing glue YAML.

Monitoring and MLOps

Monitor experiment results with your go-to tools like Weights and Biases or Tensorboard, along with real-time resource metrics from your Modal dashboard. Easily run model-based evaluations without slowing down training.

Experiment to production made easy

Seamlessly integrate your data processing, model training, and serving functions — all with different hardware requirements and image definitions — on Modal. Break the wall between research and production.


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Ship your first app in minutes

with $30 / month free compute