Moondream is a highly efficient open-source vision language model that combines powerful image understanding capabilities with a remarkably small footprint, enabling efficient multimodal understanding with low latency.

• Original paper / reference: Moondream project repository — https://github.com/vikhyat/moondream

Moondream2-2B

This model implements the Moondream2-2B, optimized for efficient multimodal reasoning while maintaining a small compute footprint. It is well suited for applications such as visual question answering, image captioning, document understanding, and real-time multimodal assistants on edge or resource-constrained devices.

Model Configuration:

• Reference implementation: moondream
• Original Weight: moondream2
• Resolution: 3x378x378
• Support Cooper version:
  • Cooper SDK: [2.5.3]
  • Cooper Foundry: [2.2]

Model	Device	Model Link
Moondream2-2B	N1-655	Model_Link
Moondream2-2B	CV7	Model_Link
Moondream2-2B	CV72	Model_Link