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| tags: | |
| - autonomous-driving | |
| - reward-model | |
| - text-classification | |
| - vision-language | |
| # AlpaJudge | |
| AlpaJudge is a family of learned judges for evaluating autonomous-driving reasoning. This | |
| repository provides one reference-based checkpoint and one reference-free checkpoint. | |
| ### License/Terms of Use: | |
| **Model weights:** The model weights are released under the [OpenMDW-1.1](https://openmdw.ai/license/1-1/) license. | |
| **Source code:** Apache License 2.0, as provided in the [AlpaJudge GitHub repository](https://github.com/NVlabs/alpajudge). | |
| ## Checkpoints | |
| | Variant | Folder | Inputs | Output | | |
| | --- | --- | --- | --- | | |
| | AlpaJudge-RB | [`reference-based/`](./reference-based) | Question, reference answer, and candidate answer; no images | One alignment probability in `[0, 1]` | | |
| | AlpaJudge-RF | [`reference-free/`](./reference-free) | Front-wide/front-tele frames, ego meta-action history and future, and a candidate rationale | Five rubric probabilities plus the aggregated action, component, and overall scores | | |
| Both variants are available from | |
| [`nvidia/alpajudge`](https://huggingface.co/nvidia/alpajudge) in the subfolders shown above. | |
| ## Download | |
| Authenticate with an account that can access the repository, then download only the variant you | |
| need: | |
| ```python | |
| from pathlib import Path | |
| from huggingface_hub import snapshot_download | |
| variant = "reference-based" # or "reference-free" | |
| repo_dir = Path( | |
| snapshot_download( | |
| "nvidia/alpajudge", | |
| allow_patterns=f"{variant}/*", | |
| ) | |
| ) | |
| checkpoint = repo_dir / variant | |
| ``` | |
| Use the `alpajudge` inference package to load either subfolder. See the | |
| [usage guide](https://github.com/NVlabs/alpajudge#readme) for setup, complete RB and RF examples, | |
| input contracts, score definitions, and limitations. | |
| ## Support | |
| 📣 **Usage questions**: post on the [Alpamayo NV Developer Forum](https://forums.developer.nvidia.com/c/autonomous-vehicles/alpamayo/766). | |
| 🐛 **Code bugs / documentation issues / feature requests**: file a GitHub issue using the appropriate template (Bug report, Documentation request, or Feature request) at https://github.com/NVlabs/alpajudge/issues/new/choose . The relevant NVIDIA responder is auto-assigned. | |
| 🚨 **Security vulnerabilities**: please use [NVIDIA's Vulnerability Disclosure Program](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail). Do not file public issues. | |