2025.7.0
What's Changed
This release includes major internal refactors and improved documentation. The previous training configuration format has been deprecated and will be removed in a future release. However, breaking changes have been avoided and backwards compatibility has been maintained with existing saved models for most cases.
Version updates:
- Python 3.11 and torch 2.7.1
Internal refactors:
- The
fmepackage has been moved one level up (i.e., away from the legacyfme/fme/...layout and tofme/ace/andfme/core/instead).
Increased modularity for ML emulation:
- Training configuration is now based around a more flexible
StepperConfig; the legacySingleModuleStepperConfigis deprecated and will be removed in a future release. - The stepper config now supports the modular
stepframework allowing composible steps for ML emulation.
Experimental features:
- Samudra, a global ocean emulator developed by M2LInES, is now fully integrated into Ai2's full model framework. An example production workflow for training and running Samudra is currently under development and will be included in the upcoming release.
Documentation
- Added an improved
quickstart.rstfocused around the models saved in our Hugging Face collection.
Full Changelog: 2024.12.0...2025.7.0