Ollama Multimodal Models: Run Vision AI Locally

说明与用途

Ollama 允许本地运行多模态 AI 模型（如 LLaVA），消除了对外部 API 的依赖，但需要强大的 GPU 和内存。

问题

Complex tasks that need text and image understanding typically rely on external APIs, incurring costs and privacy concerns.

结果

Running multimodal models locally with Ollama enables privacy‑preserving, low‑latency inference for agentic workflows, though it requires sufficient GPU and RAM.

工作流

• Install Ollama (v0.35.1 or newer) from ollama.com
• Pull the LLaVA model: ollama pull llava
• Run an interactive session: ollama run llava and input prompt with image path, e.g., What do you see in this image? ./example.jpg
• For single‑shot queries: ollama run llava "What is the main subject of this image? ./example.jpg"
• Integrate the command into local automation scripts or agent workflows

证据

Now, you can run multimodal decision models—those capable of processing both text and images to generate specific outcomes—right on your own machine.

来源

To get started, you'll need Ollama version v0.35.1 or newer.

来源

First, ensure you have Ollama installed on your system. You can download it from the official Ollama website, which provides installers for macOS, Linux, and Windows.

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ollama pull llava

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ollama run llava "What is the main subject of this image? ./example.jpg"

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