Fine-tuning

Define and share reproducible environments

Define your requirements in code and let your team run the same without having to set up a local environment.

Fast hyperparameter sweeps

Scale up to hundreds of multi-GPU fine-tuning runs in just a few seconds with a single function call.

Flexible framework integration

Use your favorite ML fine-tuning frameworks, like Hugging Face, PyTorch, and Axolotl…or write your own training loop.

Efficient data management

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

End-to-end model lifecycle

Deploy your functions for data processing, fine-tuning, and serving, all on Modal.