面壁智能聯合清華大學及OpenBMB開源社區發佈新一代端側多模態大模型MiniCPM-V4.6，僅1.3B參數，推出Instruct與Thinking兩個版本，憑藉高智能密度與跨平臺適配能力，在多項評測中表現超越更大參數模型，加速端側AI應用落地。
面壁智能聯合清華大學及OpenBMB開源社區發佈MiniCPM-V 4.6端側多模態大模型，僅1.3B參數、6G內存即可流暢運行，性能卓越，在內存漲價背景下實現“低內存、極速跑”，爲AI應用拓展新可能。
開源AI社區發佈多模態大語言模型MiniCPM-V4.5，專爲智能手機和平板等端側設備優化。該模型僅8億參數，輕量化設計實現高效運行，在OpenCompass評估中獲77.2分，性能領先同類開源模型，爲移動端AI應用開闢新可能。
面壁智能聯合清華大學發佈端側多模態大模型MiniCPM-V4.5，採用SigLIP2-400M視覺模塊與MiniCPM4架構，以更小參數實現更強性能，顯著提升邊緣AI部署效率和應用廣度，推動端側多模態技術發展。
高性能多模態語言模型，適用於圖像和視頻理解。
openbmb
AgentCPM-GUI是一款具備RFT增強推理能力的設備端圖形界面代理，可操作中英文應用，基於80億參數的MiniCPM-V構建。
FriendliAI
MiniCPM-V 2.6是一款強大的多模態大語言模型，能夠在手機等設備上高效運行，支持單圖像、多圖像和視頻理解任務。
c01zaut
MiniCPM-V 2.6是支持單圖、多圖和視頻理解的GPT-4V級別多模態大語言模型，專為RK3588 NPU優化
AI-Engine
MiniCPM-V-2_6的GGUF量化版本，基於llama.cpp實現高效圖像文本轉換
jchevallard
MiniCPM-V 2.6是MiniCPM-V系列最新最強的多模態大模型，支持單圖、多圖和視頻理解，具有領先的性能和極致效率。
gaianet
MiniCPM-V-2_6 是一個視覺問答模型，支持中英文，專注於處理視覺相關的問答任務。
MiniCPM-V是一個手機端GPT-4V級多模態大語言模型，支持單圖、多圖與視頻理解，具備視覺、光學字符識別等功能。
MiniCPM-V 2.6是一個多模態視覺語言模型，支持圖像文本到文本的轉換，具備多語言處理能力。
RhapsodyAI
免OCR的視覺文檔嵌入模型，能夠通過圖像理解文檔內容並生成表示向量，適用於文本和視覺密集型文檔檢索。
MiniCPM-V 2.6是OpenBMB推出的多模態大模型，在單圖、多圖及視頻理解任務上超越GPT-4V，支持iPad端即時視頻理解。
MiniCPM-V 2.0是面向高效終端部署的強大多模態大語言模型，基於SigLip-400M和MiniCPM-2.4B構建，通過感知器重採樣器連接。
MiniCPM-V是一款高效輕量級多模態模型，專為終端設備部署優化，支持中英雙語交互，性能超越同規模模型。
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