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Moondream

Powerful visual AI. Tiny footprint.

Freemium
Screenshot of Moondream

Description

Moondream is an open-source visual language model designed for understanding images through simple text prompts. It stands out for its remarkable efficiency, being under 2 billion parameters and quantized to just 1GB. This small footprint allows Moondream to run virtually anywhere, from edge devices and laptops to scalable cloud deployments, without requiring heavy infrastructure or specialized hardware.

Developed for ease of use, Moondream eliminates the need for complex training or ground truth data. Users can simply provide a prompt to perform various visual tasks. It offers both free local execution and an affordable cloud API with a free tier, making powerful visual AI accessible for diverse applications and developer needs. Its versatility covers tasks beyond basic Q&A, including image captioning, object detection, OCR, and more.

Key Features

  • Ridiculously lightweight: Under 2B parameters, quantized to 4-bit, just 1GB size.
  • Runs Anywhere: Operates on edge devices, laptops, or cloud servers (CPU/GPU compatible).
  • Affordable Access: Run locally for free or use a cloud API with a free tier (5,000 requests/day).
  • Simple Integration: Prompt-based interaction without needing model training or ground truth data.
  • Versatile Capabilities: Supports image captioning, VQA, object detection, pointing, gaze detection, OCR & document understanding.
  • Fast & Efficient: Optimized architecture for speed and low memory/power consumption.
  • Open Source: Freely available for local installation and use (Moondream Server).
  • Tried & Tested: Widely adopted with millions of downloads and thousands of GitHub stars.

Use Cases

  • Image Captioning for Manufacturing and Synthetic Data
  • Visual Question Answering for Transportation Security and Agentic AI
  • Object Detection for Retail Inventory and Robotics
  • Coordinate Pointing for Quality Control and Surveillance
  • Gaze Detection for Manufacturing Safety and Retail Analysis
  • OCR & Document Understanding for Logistics and Office Automation
  • Implementing semantic behaviors in robotics systems
  • Powering visual understanding in mobile apps

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