MiniCPM-V-2
Multimodal modelMiniCPM-V-2
MiniCPM-V-2 is an AI model published by OpenBMB, released on 2024-04-10, for Multimodal model, with 2.8B parameters, and 2K context length, requiring about 6.87GB storage, with a 37.10 score on MMMU.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
MiniCPM-V-2 currently shows benchmark results led by MMMU (73 / 74, score 37.10). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Publisher
Model Overview
MiniCPM-V-2 is an AI model published by OpenBMB, released on 2024-04-10, for Multimodal model, with 2.8B parameters, and 2K context length, requiring about 6.87GB storage, with a 37.10 score on MMMU.
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