Ollama multimodal engine
Run leading vision models locally with the new engine
Ollama multimodal engine launched on May 19, 2025 with 277 votes, #103 of 7,905 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Ollama multimodal engine is an open-source tool that enables users to run advanced vision models locally on their computers. Version 0.7 introduces a new engine supporting models like Llama 4 and Gemma 3, with improvements to reliability, accuracy, and memory management. It is designed for developers and AI enthusiasts who want to work with large language and vision models without relying on cloud services.
written from the facts on this page · September 2026
From the sources
Ollama v0.7 introduces a new engine for first-class multimodal AI, starting with vision models like Llama 4 & Gemma 3. Offers improved reliability, accuracy, and memory management for running LLMs locally.
Ollama now supports new multimodal models with its new engine.
ollama run llama4:scout (Note: this is a 109 billion parameter, mixture-of-experts model.) ollama@ollamas-computer ~ % ollama run llama4:scout >>> what do you see in this image? /Users/ollama/Downloads/multimodal-example1.png Added image '/Users/ollama/Downloads/multimodal-example1.png' The image depicts a scenic waterfront area with a prominent clock tower at its center. The clock tower, likely the Ferry Building Clock Tower in San Francisco, features a tall structure with a clock face on each side and an American flag flying atop. In the foreground, there are several buildings, including what appears to be a marketplace or shopping center, with a parking lot and a street lined with cars.…from ollama.com
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Ollama – Run LLMs on your Mac2023 · github.com · ▲284Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…

1CodeJan 2026 · github.com · ▲569Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…
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