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MiniCPM-V 4.7 brings a sparse vision model to constrained devices

OpenBMB's MiniCPM-V 4.7 model card describes a mixture-of-experts vision-language model with 35 billion total parameters and roughly 3 billion active per token. It supports image and video inputs and includes deployment paths for constrained hardware.

Its scheduling anticipates which experts will be needed and loads them ahead of time while retaining the model's routing decisions. That is a different tradeoff from simply dropping parts of the model. Reported phone performance remains a vendor result; active parameters and runtime memory do not describe the total storage required for the weights. SourcesA

Sources

• AMiniCPM-V 4.7 brings a sparse vision model to constrained deviceshuggingface.co

This story ran in the Morning Brief of October 27th 2026.