Llama 3.2-Vision for High-Precision OCR with Ollama

With the new Llama 3.2 release, Meta seriously leveled up here — now you’ve got vision models (11B and 90B) that don’t just read text but also analyze images, recognize charts, and even caption visuals.

Benchmarks for vision instruction-tuned models are impressive:

Plus, they’ve got these smaller, text-only models (1B and 3B) that fit right onto edge devices like mobile, and they’re surprisingly powerful for tasks like summarization, instruction-following, and more.

One of the coolest parts is Llama Stack, which makes working with these models a breeze whether you’re deploying on-prem, in the cloud, or on mobile.

They’ve even optimized everything for Qualcomm, MediaTek, and Arm hardware, so you can run it all locally if you want — super fast and private.

Let me walk you through a local development workflow that you can try now.

Let’s GO!

The Birth of Llama 3.2

Setting-up the environment for Llama 3.2-Vision and Ollama

llama3.2-vision requires Ollama 0.4.0, which is currently in pre-release, here’s…