Matt Williams a314b6c2a9 add faq on models downloaded from hf 1 年之前
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tutorials f9b7d65e2b docs/tutorials: add bit on how to use Fly GPUs on-demand with Ollama (#1406) 1 年之前
README.md 3c5dd9ed1d Update README.md (#1766) 1 年之前
api.md b846eb64d0 Fix `template` api doc description (#1661) 1 年之前
development.md e5202eb687 Quiet down llama.cpp logging by default 1 年之前
faq.md a314b6c2a9 add faq on models downloaded from hf 1 年之前
import.md b17ccd0542 Update import.md 1 年之前
linux.md 92119de9d8 update linux.md 1 年之前
modelfile.md 291700c92d Clean up documentation (#1506) 1 年之前
troubleshooting.md 291700c92d Clean up documentation (#1506) 1 年之前
tutorials.md 85951d25ef Created tutorial for running Ollama on NVIDIA Jetson devices (#1098) 1 年之前

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.