OpenBMB/MiniCPM-V

Health v2 · maintenance only

Adoption not part of the score

26240 stars · 2055 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MiniCPM-V and MiniCPM-o are a series of small multimodal large language models for efficient image, video, and audio understanding, deployable on phones and edge devices. The repository provides model weights, inference code, and edge adaptation tooling for iOS, Android, and HarmonyOS.

Use cases

• run a vision-language model on a phone
• understand images and video with a small LLM
• build an on-device multimodal chat assistant
• real-time streaming video and speech interaction
• deploy an efficient MLLM on edge devices
• caption or answer questions about images offline

When to choose

• you need multimodal (image/video/audio) understanding on resource-constrained devices
• you want an open Apache-2.0 small MLLM with strong benchmarks
• you target mobile platforms like iOS, Android, or HarmonyOS

When to avoid

• you need the highest possible accuracy from frontier-scale models
• you only need text-only LLM inference
• you cannot run any local inference and prefer cloud APIs

Facets

library · maturity active

machine-learning llm-inference computer-vision speech-recognition rag artificial-intelligence large-language-models computer-vision image-processing mobile-development python cross-platform multimodal vision-language-model on-device-ai edge-deployment video-understanding omnimodal video android ios mobile gpu

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For agents

markdown · JSON · MCP: product_card(name="OpenBMB/MiniCPM-V")