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Moondream 0.5B

Moondream 0.5B is a compact open-source vision-language model aimed at pushing multimodal AI onto highly constrained hardware. The release describes it as a 0.5B-parameter model built for edge devices and mobile platforms, following Moondream 2B but with much lower memory and download requirements. The announcement says that in 8-bit form it needs a 479 MiB compressed download and about 996 MiB of runtime memory, while 4-bit quantization lowers this to a 375 MiB download and 816 MiB runtime memory. It is positioned for applications like retail, manufacturing, transportation, security, and robotics at the edge.
Image Gen 4
Released: December 5, 2024

Overview

Moondream 0.5B is a tiny open-source vision-language model built for edge devices and mobile platforms. With only 0.5B parameters, it is positioned as the world’s smallest VLM, designed for fast lightweight deployment on constrained hardware while still supporting practical real-world visual tasks.

About Moondream

State-of-the-art visual understanding at speeds that make continuous processing possible. Point, detect, count, and reason—without compromise.

Location: Seattle, WA, US
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Tools using Moondream 0.5B

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Last updated: April 2, 2026
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