Jeffrey Morgan b9f91a0b36 Update import instructions to use convert and quantize tooling from llama.cpp submodule (#2247) 1 년 전
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tutorials f9b7d65e2b docs/tutorials: add bit on how to use Fly GPUs on-demand with Ollama (#1406) 1 년 전
README.md df086d3c8c fix docker doc to point to hub 1 년 전
api.md f0e9496c85 Update api.md 1 년 전
development.md e02ecfb6c8 Merge pull request #2116 from dhiltgen/cc_50_80 1 년 전
faq.md 93a756266c faq: update to use launchctl setenv 1 년 전
import.md b9f91a0b36 Update import instructions to use convert and quantize tooling from llama.cpp submodule (#2247) 1 년 전
linux.md 40a0a90a88 Add group delete to uninstall instructions (#1924) 1 년 전
modelfile.md 5be9bdd444 Update modelfile.md 1 년 전
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tutorials.md 85951d25ef Created tutorial for running Ollama on NVIDIA Jetson devices (#1098) 1 년 전

README.md

Documentation

To get started, see the project's quickstart.

Ollama is a tool for running AI models on your hardware. Many users will choose to use the Command Line Interface (CLI) to work with Ollama. Learn more about all the commands in the CLI in the Main Readme.

Use the RESTful API using any language, including Python, JavaScript, Typescript, Go, Rust, and many more. Learn more about using the API in the API Documentation.

Create new models or modify models already in the library using the Modelfile. Learn more about the Modelfile syntax in the Modelfile Documentation.

Import models using source model weights found on Hugging Face and similar sites by referring to the Import Documentation.

Installing on Linux in most cases is easy using the script on Ollama.ai. To get more detail about the install, including CUDA drivers, see the Linux Documentation.

Many of our users like the flexibility of using our official Docker Image. Learn more about using Docker with Ollama using the Docker Documentation.

It is easy to install on Linux and Mac, but many users will choose to build Ollama on their own. To do this, refer to the Development Documentation.

If encountering a problem with Ollama, the best place to start is the logs. Find more information about them here in the Troubleshooting Guide.

Finally for all the questions that don't fit anywhere else, there is the FAQ

Tutorials apply the documentation to tasks.

For working code examples of using Ollama, see Examples.