Instructions to use Perfect7613/jump-gemma-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Perfect7613/jump-gemma-adapter with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Dataset and generator record
The pilot dataset was generated by the deterministic six-object Track H simulator at seed 7613. It contains 200 training and 24 held-out episodes. Raw dataset SHA-256 is 10b3d9cad161d415914e62795136675339a29c3cb141a4169b413da3dad75802; derived tokenized dataset SHA-256 is 1bfe1a46d19c8397e58f9fb8b4553524a0dce3764659966d1a1ec3c63b5d83ae. The 640-token policy reserves all 33 target-plus-EOS tokens and truncates only prompt tokens. The audit records every example and condition. This synthetic dataset contains no user data.