alpamayo

NVIDIA Alpamayo 1 Nano is an open 10B reasoning VLA model for autonomous vehicles that pairs driving trajectories with Chain-of-Causation reasoning.

NVIDIA Alpamayo 1.5 Nano is an open 10B reasoning VLA model for autonomous vehicles with reinforcement-learning enhanced reasoning, navigation guidance, and visual question answering.

NVIDIA Alpamayo 2 Super is an open 34B multi-task foundation model designed to supercharge autonomous vehicle development.

Developer Hub for NVIDIA Alpamayo, containing ready-to-use recipes for fine-tuning, reinforcement-learning post-training, quantization, and deployment.

NVIDIA CoC Autolabeler is an open autolabeling pipeline for autonomous vehicles that generates Chain-of-Causation reasoning labels and meta-actions from raw driving clips.

VLA model of NVIDIA’s Alpamayo 1 and Alpamayo1.5, Add visualization, fine-tuning, RL fine-tuning, consistency training.

VLA ≠ VLM. Side-by-side viewer running NVIDIA Alpamayo R1 (vision-language-action) alongside Qwen2.5-VL (vision-language) on the same 44-sec SF dashcam clip at 5 Hz. 220 paired traces. Surfaces what an action-trained model sees that a scene-trained model doesn't, and vice versa.

An eval harness that interrogates a 10B driving VLA's reasoning-action consistency across curated long-tail scenarios

Alpamayo 1.5 multi-camera VLA inference, calibrated trajectory projection, and synchronized driving demos

NVIDIA Alpamayo 的最小复现：Qwen2.5-0.5B VLM + 105.6M diffusion expert，支持单样本两阶段训练与推理