Sync ollama docs from f8dc7c9f on 2026-02-12

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The Librarian
2026-02-12 04:00:07 +00:00
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@@ -18,13 +18,13 @@ This quickstart will walk your through running your first model with Ollama. To
<Tab title="CLI">
Open a terminal and run the command:
```
```sh
ollama run gemma3
```
</Tab>
<Tab title="cURL">
```
```sh
ollama pull gemma3
```
@@ -45,13 +45,13 @@ This quickstart will walk your through running your first model with Ollama. To
<Tab title="Python">
Start by downloading a model:
```
```sh
ollama pull gemma3
```
Then install Ollama's Python library:
```
```sh
pip install ollama
```
@@ -101,3 +101,42 @@ This quickstart will walk your through running your first model with Ollama. To
</Tabs>
See a full list of available models [here](https://ollama.com/models).
## 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.
```sh
ollama pull glm-4.7-flash
```
Alternatively, you can use a more powerful cloud model (with full context length):
```sh
ollama pull glm-4.7:cloud
```
Use `ollama launch` to quickly set up a coding tool with Ollama models:
```sh
ollama launch
```
### Supported integrations
- [OpenCode](/integrations/opencode) - Open-source coding assistant
- [Claude Code](/integrations/claude-code) - Anthropic's agentic coding tool
- [Codex](/integrations/codex) - OpenAI's coding assistant
- [Droid](/integrations/droid) - Factory's AI coding agent
### Launch with a specific model
```sh
ollama launch claude --model glm-4.7-flash
```
### Configure without launching
```sh
ollama launch claude --config
```