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This directory contains different examples of using Ollama. Python examples Ollama Python example...

docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama Nvidia GPU Insta...

Install prerequisites: Go CMake 3.24 or newer C/C++ compiler: Clang on macOS, Visual Studio 2022 ...

Run models in Ollama's cloud from your apps or terminal. No model or app download required. API K...

Run a model ollama run gemma4 Launch integrations ollama launch Configure and launch external app...

Vision models accept images alongside text so the model can describe, classify, and answer questi...

Ollama supports tool calling (also known as function calling) which allows a model to invoke tool...

Thinking-capable models emit a thinking field that separates their reasoning trace from the fina...

Ollama's cloud currently does not support structured outputs. Structured outputs let you enforce ...

Streaming allows you to render text as it is produced by the model. Streaming is enabled by defau...

Speech models read text aloud. Ollama streams the audio as it is generated, so playback can start...

Embeddings turn text into numeric vectors you can store in a vector database, search with cosine ...

Use System One to classify text, answer yes/no questions, or score text against a rubric. See the...

Ollama's API responses include metrics that can be used for measuring performance and model usage...

Certain API endpoints stream responses by default, such as /api/generate. These responses are pr...

Connect OpenAI clients to Ollama. Ollama supports a subset of the OpenAI API. Direct cloud access...

Use Ollama's API to build applications with cloud or local models. Get started Call cloud models ...

Endpoints return appropriate HTTP status codes based on the success or failure of the request in ...

curl 'https://ollama.com/api/usage?range=24h' \ -H "Authorization: Bearer $OLLAMA_API_KEY" { ...

curl https://ollama.com/api/balance \ -H "Authorization: Bearer $OLLAMA_API_KEY" { "included"...