The article also provides examples of usage, such as handwriting, optical character recognition (OCR), charts and tables, and image Q&A. It further explains how to use Llama 3.2 Vision with the Ollama Python library, the Ollama JavaScript library, and cURL. The process involves importing Ollama, setting up a chat model, and defining the user role and content.
Key takeaways:
- Llama 3.2 Vision is now available to run in Ollama, in both 11B and 90B sizes.
- To run the program, users need to download Ollama 0.4 and use specific commands for the 11B or 90B model.
- Llama 3.2 Vision can be used with the Ollama Python library, the Ollama JavaScript library, or cURL.
- The 11B model requires at least 8GB of VRAM, and the 90B model requires at least 64 GB of VRAM.