# OpenBMB Open-Sources Edge Multimodal Large Model MiniCPM-V 4.6

- Category: Flash (快讯)
- Published: 2026-05-12T11:56:00.000Z
- Source date: 2026-05-12
- HTML: https://www.88z.ai/en/news/flash-20260512-09ba6fc7f6577c40
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- Other language: https://www.88z.ai/news/flash-20260512-09ba6fc7f6577c40.md

OpenBMB releases MiniCPM-V 4.6, an edge multimodal large model with 1.3B parameters and ~1.6GB size, supporting pure local offline deployment on iOS, Android, and HarmonyOS NEXT.

## At a glance

- Model size is ~1.6 GB, running smoothly with a minimum of 6 GB RAM
- Supports pure local offline deployment on iOS, Android, and HarmonyOS NEXT via llama.cpp

## The update

OpenBMB has officially open-sourced MiniCPM-V 4.6, an edge-side multimodal large model. The language component features only 1.3 billion parameters, with a total model size of approximately 1.6 GB. It has low hardware requirements, running smoothly with a minimum of 6 GB of RAM. Built on the llama.cpp framework, the model fully supports pure local offline deployment across three major mobile platforms: iOS, Android, and HarmonyOS NEXT. This allows users to operate the model without relying on network connectivity. In terms of capabilities, MiniCPM-V 4.6 offers robust multimodal processing, including image understanding, optical character recognition (OCR), and video understanding, aiming to provide efficient and privacy-safe intelligent interaction for mobile devices.

## Sources

- [行业快讯](https://www.88z.ai/flash/cite/flash-20260512-09ba6fc7f6577c40) (2026-05-12)

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