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Ollama Library · qwen35

Can I run minicpm-v4.6?

A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone

752M parameters256K contextimagetext1 builds

minicpm-v4.6 system requirements

Memory needed at 4K context, counting model weights, KV cache, compute buffers and runtime overhead. Download sizes come from the official Ollama registry.

Download size and memory required for each minicpm-v4.6 build
BuildQuantizationDownloadMemory needed
minicpm-v4.6:1bQ4_K_M1.5 GB~1.2 GB(est.)

Figures marked (est.) approximate the KV cache because this model's architecture details are not published. They are indicative rather than exact.

How to run minicpm-v4.6 locally

  1. 1.Install Ollama for Windows, macOS or Linux.
  2. 2.Run this in a terminal:ollama run minicpm-v4.6:1b
  3. 3.The weights download on first run, then an interactive prompt opens.

Frequently asked questions about minicpm-v4.6

How much VRAM do I need to run minicpm-v4.6?
At 4K context, the smallest published build of minicpm-v4.6 (Q4_K_M) needs roughly 1.2 GB of GPU memory once weights, KV cache, compute buffers and runtime overhead are counted. Bigger quantizations and longer context windows need more. It can also run partly or entirely on the CPU using system RAM, more slowly.
Can I run minicpm-v4.6 without a dedicated GPU?
Yes, but slowly. Without a GPU the model runs on the CPU using system RAM, which usually means a few tokens per second rather than dozens. You would need at least 1.2 GB of free RAM for the smallest build.
How big is the minicpm-v4.6 download?
The smallest published build is 1.5 GB. Leave some extra free disk space beyond the download itself.
How do I run minicpm-v4.6 locally?
Install Ollama, then run "ollama run minicpm-v4.6:1b" in a terminal. The weights download on first use and an interactive session opens.

Will minicpm-v4.6 run on your PC?

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Model data from the official Ollama registry · verified 13/09/2026