Quickstart

This quickstart will walk your through running your first model with Ollama. To get started, download Ollama on macOS, Windows or Linux.

Download Ollama

Run a model

CLI

Open a terminal and run the command:

ollama run gemma3

cURL

ollama pull gemma3

Lastly, chat with the model:

curl http://localhost:11434/api/chat -d '{
  "model": "gemma3",
  "messages": [{
    "role": "user",
    "content": "Hello there!"
  }],
  "stream": false
}'

Python

Start by downloading a model:

ollama pull gemma3

Then install Ollama’s Python library:

pip install ollama

Lastly, chat with the model:

from ollama import chat
from ollama import ChatResponse

response: ChatResponse = chat(model='gemma3', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
  },
])
print(response['message']['content'])
# or access fields directly from the response object
print(response.message.content)

JavaScript

Start by downloading a model:

ollama pull gemma3

Then install the Ollama JavaScript library:

npm i ollama

Lastly, chat with the model:

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'gemma3',
  messages: [{ role: 'user', content: 'Why is the sky blue?' }],
})
console.log(response.message.content)

See a full list of available models here.

Coding

For coding use cases, we recommend using the glm-4.7-flash model.

Note: this model requires 23 GB of VRAM with 64000 tokens context length.

ollama pull glm-4.7-flash 

Alternatively, you can use a more powerful cloud model (with full context length):

ollama pull glm-4.7:cloud

Use ollama launch to quickly set up a coding tool with Ollama models:

ollama launch

Supported integrations

• OpenCode - Open-source coding assistant
• Claude Code - Anthropic’s agentic coding tool
• Codex - OpenAI’s coding assistant
• Droid - Factory’s AI coding agent

Launch with a specific model

ollama launch claude --model glm-4.7-flash

Configure without launching

ollama launch claude --config