Ollama's documentation - Ollama
Ollama is the easiest way to get up and running with large language models such as gpt-oss, Gemma 4, DeepSeek-R1, Qwen3 and more.
Linux - Ollama
Manual install If you are upgrading from a prior version, you should remove the old libraries with sudo rm -rf /usr/lib/ollama first.
Hermes Desktop - Ollama
Hermes Desktop is a native AI assistant app by Nous Research. It provides a desktop chat interface for Hermes Agent, an AI agent that can work with models, run tools, manage projects, use memory and …
VS Code - Ollama
Integrate Ollama into VS Code for seamless AI model development and interaction within your coding environment.
Hardware support - Ollama
GPU Selection If you have multiple NVIDIA GPUs in your system and want to limit Ollama to use a subset, you can set CUDA_VISIBLE_DEVICES to a comma separated list of GPUs. Numeric IDs …
macOS - Ollama
To install the Ollama application somewhere other than Applications, place the Ollama application in the desired location, and ensure the CLI Ollama.app/Contents/Resources/ollama or a sym-link to the CLI …
Docker - Ollama
Install with Yum or Dnf Configure the repository ... Install the NVIDIA Container Toolkit packages
Hermes Agent - Ollama
Hermes Agent is a self-improving AI agent built by Nous Research. It features automatic skill creation, cross-session memory, and 70+ skills that it ships with by default.
Development - Ollama
Development Install prerequisites: Go CMake 3.24 or newer C/C++ compiler: Clang on macOS, Visual Studio 2022 C++ tools on Windows, or GCC/Clang on Linux Ninja in PATH is recommended, …
Importing a Model - Ollama
Importing a fine tuned adapter from Safetensors weights First, create a Modelfile with a FROM command pointing at the base model you used for fine tuning, and an ADAPTER command which …
Pi - Ollama
Web search Pi can use web search and fetch tools via the @ollama/pi-web-search package. When launching Pi through Ollama, package install/update is managed automatically. To install manually: