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Dual Licensing Structure

Alpamayo 1 uses a dual licensing structure that separates the inference code from the model weights:

Inference Code

Apache License 2.0Open source license for all code in the repository

Model Weights

Non-Commercial LicenseResearch and evaluation use only

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Inference Code - Apache 2.0

The inference code and all software in this repository are licensed under the Apache License 2.0. This is a permissive open source license that allows you to:
  • Use the code for any purpose
  • Distribute the code
  • Modify the code
  • Distribute modified versions
  • Use the code in proprietary software
For the full license text, see the LICENSE file in the repository.

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Model Weights - Non-Commercial License

The model weights are released under a non-commercial license and are intended for research, experimentation, and evaluation purposes only.

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What This Means

  • Permitted Use: Research, academic study, benchmarking, and experimentation
  • Prohibited Use: Production deployments, commercial applications, and revenue-generating services

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Accessing the Model

The Alpamayo 1 model weights are hosted on HuggingFace and require access approval:

HuggingFace Model Card

View the complete licensing terms and request access to the model weights
For complete details on the model weights license, please refer to the HuggingFace Model Card.

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Important Disclaimers

Alpamayo 1 is a pre-trained reasoning model designed to accelerate research and development in the autonomous vehicle (AV) domain. It is intended to serve as a foundation for a range of AV-related use cases—from instantiating an end-to-end backbone for autonomous driving to enabling reasoning-based auto-labeling tools. In short, it should be viewed as a building block for developing customized AV applications.

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Research Tool Only

Alpamayo 1 is provided solely for research, experimentation, and evaluation purposes.

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Not a Complete Driving Stack

Alpamayo 1 is not a fully fledged driving stack. Among other limitations, it:
  • Lacks access to critical real-world sensor inputs
  • Does not incorporate required diverse and redundant safety mechanisms
  • Has not undergone automotive-grade validation for deployment
By using this model, you acknowledge that it is a research tool intended to support scientific inquiry, benchmarking, and exploration—not a substitute for a certified AV stack. The developers and contributors disclaim any responsibility or liability for the use of the model or its outputs. 
Copyright 2025 NVIDIA

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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