Ollama: Difference between revisions

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[https://www.ycombinator.com/companies/ollama Ollama] was funded by [https://www.ycombinator.com/people/jared-friedman Jared Friedman] out of Y Combinator (YC). Founders Jeffrey Morgan and [https://2024.allthingsopen.org/speakers/michael-chiang Michael Chiang] wanted an easier way to run LLMs than having to do it in the cloud. In fact, they were previously founders of a startup project named Kitematic which was the early UI for Docker. Acquired by Docker, it was the precursor to [[Docker Desktop]].

Ollama will enable you to get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.

== Installing it ==

I had some problems getting off the ground with Ollama. Some details are in [[Ollama/install]]

I had some problems getting off the ground with Ollama. Some details are in [[Ollama/install]] The problems were described better in [[Nvidia on Ubuntu]] where we cover one of the greatest challenges of Linux computing: graphics drivers.

== Docs ==

The [https://github.com/ollama/ollama/blob/main/docs/linux.md docs] tell you how you can customize and update or uninstall the environment.

Looking at the logs with <code>journalctl -e -u ollama</code> told me what my new generated public key is, but also that it could not load a compatible GPU so I spent time fixing that.

Start with the [https://github.com/ollama/ollama/blob/main/README.md README] for an intro.

== Interface ==

Although you can instantly begin using a model from the command line with something like

<code>ollama run gemma3</code> <ref>This will download and run a 4B parameter model.</ref> there are many User Interfaces or front-ends that can be coupled with Ollama such as [https://github.com/open-webui/open-webui Open-Webui].{{References}}

[[Category:Artificial Intelligence]]

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 [https://www.ycombinator.com/companies/ollama Ollama] was funded by [https://www.ycombinator.com/people/jared-friedman Jared Friedman] out of Y Combinator (YC). Founders Jeffrey Morgan and [https://2024.allthingsopen.org/speakers/michael-chiang Michael Chiang] wanted an easier way to run LLMs than having to do it in the cloud. In fact, they were previously founders of a startup project named Kitematic which was the early UI for Docker. Acquired by Docker, it was the precursor to [[Docker Desktop]].
+Ollama will enable you to get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
 == Installing it ==
-I had some problems getting off the ground with Ollama. Some details are in [[Ollama/install]]
+I had some problems getting off the ground with Ollama. Some details are in [[Ollama/install]] The problems were described better in [[Nvidia on Ubuntu]] where we cover one of the greatest challenges of Linux computing: graphics drivers.
+== Docs ==
+The [https://github.com/ollama/ollama/blob/main/docs/linux.md docs] tell you how you can customize and update or uninstall the environment.
+Looking at the logs with <code>journalctl -e -u ollama</code> told me what my new generated public key is, but also that it could not load a compatible GPU so I spent time fixing that.
+Start with the [https://github.com/ollama/ollama/blob/main/README.md README] for an intro.
+== Interface ==
+Although you can instantly begin using a model from the command line with something like
-{{References}}
+<code>ollama run gemma3</code> <ref>This will download and run a 4B parameter model.</ref> there are many User Interfaces or front-ends that can be coupled with Ollama such as [https://github.com/open-webui/open-webui Open-Webui].{{References}}
 [[Category:Artificial Intelligence]]