Jeffrey Morgan 8125ce4cb6 Update import.md há 1 ano atrás
..
tutorials 1c8435ffa9 Update domain name references in docs and install script (#2435) há 1 ano atrás
README.md 1c8435ffa9 Update domain name references in docs and install script (#2435) há 1 ano atrás
api.md 753724d867 Update api.md to include examples for reproducible outputs há 1 ano atrás
development.md e02ecfb6c8 Merge pull request #2116 from dhiltgen/cc_50_80 há 1 ano atrás
faq.md df56f1ee5e Update faq.md há 1 ano atrás
import.md 8125ce4cb6 Update import.md há 1 ano atrás
linux.md 1c8435ffa9 Update domain name references in docs and install script (#2435) há 1 ano atrás
modelfile.md 48a273f80b Fix issues with templating prompt in chat mode (#2460) há 1 ano atrás
openai.md 42b797ed9c Update openai.md há 1 ano atrás
troubleshooting.md 29e90cc13b Implement new Go based Desktop app há 1 ano atrás
tutorials.md 85951d25ef Created tutorial for running Ollama on NVIDIA Jetson devices (#1098) há 1 ano atrás
windows.md 1ba734de67 typo há 1 ano atrás

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.com/download. 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.