| # Code for `AlexWortega/dualrate-physics` |
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| Model-defining code so the checkpoints in this repo are reproducible and loadable |
| without the full project. |
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| - **`dualrate/`** — the DualRate model package. Importable as `dualrate` (put this |
| directory on your `PYTHONPATH`), which matches the loading snippet in the model card: |
| `from dualrate.config import DualRateConfig`, `from dualrate.model import DualRatePhysicsModel`, |
| `from dualrate.normalization import StateNormalizer`. These three plus `expert.py` and |
| `semantic.py` use only in-package relative imports, so checkpoint loading works standalone. |
| - **`scripts/`** — the training / evaluation drivers: `build_dualrate_cache.py`, |
| `train_dualrate.py`, `eval_dualrate.py`, `eval_dualrate_plle_exact.py`. These expect the |
| full project layout (they import `src.dualrate.*` as well as `src.physics`, `src.data`, |
| `src.training`, `src.evaluation`). To run the full data-build → train → eval pipeline, |
| clone the complete repository: |
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| **https://github.com/AlexWortega/dualrate-physics-llm** |
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| The semantic encoder weights (`Qwen/Qwen3.5-0.8B`) are **not** stored here or in the |
| checkpoints — they are downloaded from the Hub at load time. The checkpoints hold only the |
| flow expert, projection, readout tokens, config, and state normalizer. |
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