NVlabs/alpamayo

Health v2 · maintenance only

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2005 stars · 337 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NVIDIA Alpamayo 1 is an open 10B-parameter reasoning vision-language-action (VLA) model for autonomous vehicles that pairs driving trajectory prediction with Chain-of-Causation reasoning. This repository provides setup, inference, and fine-tuning (SFT and RL) code, with future development moved to the Alpamayo Recipes hub.

Use cases

• run a reasoning VLA model for autonomous driving trajectory prediction
• generate chain-of-causation explanations for driving decisions
• fine-tune a driving model with supervised fine-tuning
• post-train a driving policy with reinforcement learning
• research end-to-end self-driving with vision-language-action models
• evaluate world models for physical AI driving tasks

When to choose

• you need an open reasoning VLA model for autonomous driving research
• you want trajectory prediction paired with causal reasoning traces
• you need a base model for SFT or RL post-training on driving data

When to avoid

• you need the latest features and active support - use the newer Alpamayo Recipes repository
• you need a production-ready self-driving stack rather than a research model
• you lack the GPU hardware required for a 10B-parameter model

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision llm-inference llm-training simulation autonomous-vehicles robotics deep-learning artificial-intelligence computer-vision python vision-language-action autonomous-driving trajectory-prediction reasoning world-models chain-of-causation physical-ai self-driving vla end-to-end-driving gpu linux

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