Ollama native vision model support: local VLMs with a one-liner
In one sentence Ollama adds first-class multimodal support: 'ollama run llama3.2-vision' launches local vision inference. Images are passed inline in API calls, bringing the Ollama one-line experience to VLMs (LLaVA, Moondream, Llama 3.2 Vision).
Until now, Ollama had made it extremely simple to use text models locally — one command and the model was ready. But "vision" models (those capable of analyzing images) required separate configurations, different libraries, and more complex procedures. Ollama solved this gap by extending its simplicity to the multimodal world.
Now, with the same familiar approach — one command, one model — you can ask a local AI to look at an image and describe it, answer questions about a photo, analyze a chart, or read text from a screenshot. All without sending anything to the internet, without API keys, without cloud services.
"Analyze this invoice" or "what does this document photo say?" are now use cases achievable with two lines of code and a local model. For applications handling documents, medical images, screenshots, or any sensitive visual content, having completely local and private vision AI is a concrete change of scenario.
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