AlpaJudge: NVIDIA's Learned Judges for Autonomous-Driving Reasoning

Reddit r/LocalLLaMA Models

Summary

NVIDIA releases AlpaJudge, a family of learned judge models for evaluating autonomous-driving reasoning, with reference-based and reference-free checkpoints available on Hugging Face under the OpenMDW-1.1 license.

No content available
Original Article
View Cached Full Text

Cached at: 10/30/26, 07:15 AM

nvidia/alpajudge · Hugging Face

Source: https://huggingface.co/nvidia/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.

https://huggingface.co/nvidia/alpajudge#licenseterms-of-useLicense/Terms of Use:

**Model weights:**The model weights are released under theOpenMDW-1.1license.

**Source code:**Apache License 2.0, as provided in theAlpaJudge GitHub repository.

https://huggingface.co/nvidia/alpajudge#checkpointsCheckpoints

VariantFolderInputsOutputAlpaJudge-RBreference\-based/Question, reference answer, and candidate answer; no imagesOne alignment probability in\[0, 1\]AlpaJudge-RFreference\-free/Front-wide/front-tele frames, ego meta-action history and future, and a candidate rationaleFive rubric probabilities plus the aggregated action, component, and overall scores Both variants are available fromnvidia/alpajudgein the subfolders shown above.

https://huggingface.co/nvidia/alpajudge#downloadDownload

Authenticate with an account that can access the repository, then download only the variant you need:

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 thealpajudgeinference package to load either subfolder. See theusage guidefor setup, complete RB and RF examples, input contracts, score definitions, and limitations.

https://huggingface.co/nvidia/alpajudge#supportSupport

📣Usage questions: post on theAlpamayo NV Developer Forum.

🐛Code bugs / documentation issues / feature requests: file a GitHub issue using the appropriate template (Bug report, Documentation request, or Feature request) athttps://github.com/NVlabs/alpajudge/issues/new/choose. The relevant NVIDIA responder is auto-assigned.

🚨Security vulnerabilities: please useNVIDIA’s Vulnerability Disclosure Program. Do not file public issues.

Similar Articles

@FinanceYF5: Jensen Huang just announced: Alpamayo 2 Super is now officially open source. NVIDIA's frontier open reasoning model for autonomous driving. It doesn't just "see" — it understands complex scenes, and thinks before acting. It can be used for Robotaxi, trucks, delivery vehicles, etc., under OpenMDW-…

X AI KOLs Following

Jensen Huang announced that NVIDIA has officially open-sourced its autonomous driving reasoning model Alpamayo 2 Super. The model can understand complex scenes and think before acting, and is suitable for Robotaxi, trucks, delivery vehicles, etc. It is open for commercial use under the OpenMDW-1.1 license.