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MiniCPM-V-4.6 PC with NPU No Admin Rights Local Guide

MiniCPM-V-4.6 PC with NPU No Admin Rights Local Guide

Running this model locally is fastest when deployed through Docker.

Refer to the instructions below to proceed.

1-click setup: the app automatically fetches the large weight files.

The installer will automatically analyze your hardware and select the optimal configuration for your system.

📘 Build Hash: d66114267194389efde7120af8410408 • 🗓 2026-06-26



  • Processor: next-gen chip for heavy context processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: at least 100 GB for multiple local LLM variants
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

The MiniCPM-V-4.6 is a compact yet powerful vision-language model designed for real‑time multimodal understanding. It features a parameter count of 2.5B weights, enabling deployment on consumer‑grade hardware while maintaining high accuracy. The model accepts input images up to 1024×1024 resolution and processes them with a frame‑rate of 30 fps, making it suitable for live applications. In benchmark evaluations, MiniCPM-V-4.6 achieves state‑of‑the‑art performance on VQA and OCR tasks, often surpassing larger models by a significant margin. Its architecture incorporates a lightweight attention mechanism and efficient memory usage, allowing developers to integrate advanced visual AI without extensive computational resources.

Parameters 2.5B
Image Input Size 1024×1024
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