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PSM24/alpamayo-r1-test

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face
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App README

NVIDIA Alpamayo-R1-10B Inference Demo

A Gradio-based demo for NVIDIA Alpamayo-R1-10B, a Vision-Language-Action (VLA) model for autonomous driving.

Features

  • —Multi-Camera Input: Support for 4 camera views (front wide, front tele, left, right)
  • —Chain-of-Causation Reasoning: Interpretable decision-making traces
  • —Trajectory Prediction: 6.4-second future path prediction at 10Hz (64 waypoints)
  • —Interactive Visualization: Bird's eye view trajectory plots

Model Overview

Alpamayo 1 (formerly Alpamayo-R1) is NVIDIA's open 10B-parameter reasoning VLA model that:

  • —Takes multi-camera video input (4 cameras × 4 frames @ 10Hz)
  • —Outputs driving trajectories and reasoning traces
  • —Uses Chain-of-Causation (CoC) reasoning for interpretable decisions
  • —Built on Cosmos-Reason VLM backbone (8.2B params) + Action Expert (2.3B params)

Hardware Requirements

  • —GPU: Uses ZeroGPU (NVIDIA H200 with 70GB VRAM)
  • —Model Size: ~22GB (preloaded during build)

Usage

  1. 1.Click "Load Model" to initialize
  2. 2.Upload camera images (at least front wide camera)
  3. 3.Optionally enter a driving command
  4. 4.Click "Run Inference"
  5. 5.View reasoning traces and trajectory visualization

License

  • —Model Weights: Non-commercial use only
  • —Inference Code: Apache 2.0

References