#3 · Primary category: Foundation Models

MiniCPM-V

minicpm minicpm-o minicpm-v multi-modal

A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone

Project last updated:08/26/26

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26.3K

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2.1K

Contributors

38

License

Apache-2.0

Why we included this project

MiniCPM-V is a family of multimodal LLMs that trades raw size for practicality: the models are small enough to run on phones, tablets, and edge hardware while still handling image, video, and text inputs. The 1.3B-parameter MiniCPM-V 4.6 compresses visual tokens early in the pipeline, cutting encoding cost by more than half without sacrificing throughput, and the repo includes edge adaptation code for iOS, Android, and HarmonyOS. MiniCPM-o 4.5 pushes the same family further, adding real-time interaction with streaming video and audio plus speech output, so a model can see, listen, and speak in a live conversation. Since the models plug into Ollama, llama.cpp, and vLLM, you can prototype locally and later serve them without changing your stack.

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