Resources

Ollama’s default tags and compatibility fields move quickly. Prefer the official docs.


Official


Downloads, models, source

ResourceURL
Installers (macOS / Windows / Linux)https://ollama.com/
Model libraryhttps://ollama.com/library
Engine GitHubhttps://github.com/ollama/ollama
Python libraryhttps://github.com/ollama/ollama-python
JavaScript libraryhttps://github.com/ollama/ollama-js

Community links (Discord, Reddit) are listed on the official Community section.


CourseRole of Ollama
LangChainAgents, tools, RAG
DifyModel provider in visual orchestration
Hugging FaceWeights, GGUF, licenses, quantization
HermesLocal backend for a self-hosted agent
OpenClawLocal model for a gateway-style assistant

Path cheat sheet

TopicPath
generate / chat / embed/api/generate · /api/chat · /api/embed
Compatible chat/v1/chat/completions
Local native basehttp://localhost:11434/api
Compatible basehttp://localhost:11434/v1
Cloud basehttps://ollama.com/api

Tutorial index

  1. Ollama tutorial
  2. Introduction
  3. Installation
  4. Quick Start
  5. Models and quantization
  6. REST and OpenAI-compatible API
  7. Python and JavaScript
  8. Modelfile
  9. Embeddings and a RAG teaser
  10. Integrations
  11. Practical examples

Contribute

This tutorial is part of Kenhuang Academy. When official default models or API fields change, update both docs/zh/ollama/ and docs/en/ollama/.

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