Source URL: https://simonwillison.net/2024/Nov/13/ollama-llama-vision/#atom-everything
Source: Simon Willison’s Weblog
Title: Ollama: Llama 3.2 Vision
Feedly Summary: 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) 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 badgood description of this image, especially for a 7.9GB model that runs happily on my MacBook Pro.
Tags: vision-llms, llm, llama, ai, edge-llms, llms, meta, ollama, generative-ai
AI Summary and Description: Yes
Summary: The text discusses the release of Ollama version 0.4, which introduces support for Meta’s Llama 3.2 Vision model. It highlights the ease of installation and usage of the model on personal devices, making it relevant for professionals dealing with AI, particularly in the context of large language models (LLMs) and generative AI.
Detailed Description: The announcement of Ollama version 0.4 is significant in the AI domain, particularly for those focused on LLM and generative AI solutions. The integration of the Llama 3.2 Vision model points towards ongoing advancements in AI technologies that could streamline tasks such as image analysis using language models.
Key Points:
– **Release Information**: Ollama 0.4 introduces support for the Llama 3.2 Vision model from Meta, showcasing enhanced capabilities for LLMs in handling visual data.
– **Model Specifications**:
– Users have the option to download different sizes of the model:
– **11B Model**: 7.9 GB
– **90B Model**: 55 GB
– **Support for LLM Attachments**:
– A notable contribution from Sukhbinder Singh allows users to utilize the llm-ollama plugin effectively, enabling them to integrate LLM functionalities in various applications.
– **Example Usage**:
– The command provided (llm -m llama3.2-vision:latest ‘describe’) demonstrates how users can input an image URL to receive a textual description, showcasing the model’s ability to interpret and describe visual content accurately.
– **Performance Highlight**:
– The model runs efficiently on consumer-grade hardware (e.g., MacBook Pro), indicating accessibility for a broader user base.
– **Practical Implications**:
– This advancement is indicative of the growing trend in generative AI, where LLMs can assist in multi-modal tasks. This could be of particular interest to developers and security professionals as they explore the potential for integrating AI capabilities into more complex workflows and applications, improving efficiency and user engagement.
Overall, the release of Ollama’s version 0.4 and the functionality of the Llama 3.2 Vision model represent key developments in the integration of AI technologies and provide practical tools for professionals in AI and ML security fields. The ease of installation and the performance on standard devices enhances its relevance in the current landscape of AI innovation.