Ollama: Llama 3.2 Vision. Ollama released version 0.4 last week with support for Meta's first Llama vision model, Llama 3.2.
If you have Ollama installed you can fetch the 11B model (7.9 GB) like this:
ollama pull llama3.2-vision
Or the larger 90B model (55GB download, likely needs ~88GB of RAM) like this:
ollama pull llama3.2-vision:90b
I was delighted to learn that Sukhbinder Singh had already contributed support for LLM attachments to Sergey Alexandrov's llm-ollama plugin, which means the following works once you've pulled the models:
llm install --upgrade llm-ollama
llm -m llama3.2-vision:latest 'describe' \
-a https://static.simonwillison.net/static/2024/pelican.jpg
This image features a brown pelican standing on rocks, facing the camera and positioned to the left of center. The bird's long beak is a light brown color with a darker tip, while its white neck is adorned with gray feathers that continue down to its body. Its legs are also gray.
In the background, out-of-focus boats and water are visible, providing context for the pelican's environment.
That's not a bad description of this image, especially for a 7.9GB model that runs happily on my MacBook Pro.
Recent articles
- Trying out llama.cpp's new vision support - 10th May 2025
- Saying "hi" to Microsoft's Phi-4-reasoning - 6th May 2025
- Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25) - 5th May 2025