---
title: "Chat with LLMs Using Open WebUI and Ollama — Agent-ready Models"
canonical: "https://build.nvidia.com/playbooks/open-webui/agent-ready-models.md"
---

# Agent-ready models

Agent-ready models are tuned for **agentic workloads** — tool calling, reasoning traces, and long multi-turn sessions. Use this tab to pick a recommended model for your hardware platform, then pull it through Open WebUI’s integrated Ollama stack using either instructions tab.

## Recommendations by hardware platform

| Hardware platform | Recommended agent-ready model | Ollama library tag |
| ----------------- | ----------------------------- | ------------------ |
| **DGX Spark** | Agent-ready Qwen3.6-35B-A3B (Ollama) | [`qwen3.6:35b-a3b`](https://ollama.com/library/qwen3.6:35b-a3b) |

## DGX Spark: Agent-ready Qwen3.6-35B-A3B (Ollama)

Complete the setup through Step 5 in the **Open WebUI Remotely** tab (through creating the administrator account), or through Step 4 in the **Open WebUI on Desktop** tab, so Open WebUI is running and you are signed in.

Then pull and select the recommended model in the Open WebUI interface:

1. Click **Select a model** in the top left corner.
2. Type `qwen3.6:35b-a3b` in the search field.
3. Click the **Pull "qwen3.6:35b-a3b" from Ollama.com** button that appears.
4. Wait for the download to finish, then select **qwen3.6:35b-a3b** from the model dropdown.

### Verify in chat

In the chat text area, enter a prompt such as **Write me a haiku about GPUs and AI**, then press Enter and wait for the response.

## Context window guidance

For agentic use, prefer a context window of **at least 32K tokens**. If your hardware platform has additional memory headroom, **64K or higher** is recommended so multi-turn sessions and tools have room to work. Adjust context settings in Open WebUI or the model controls for your session when available.

## Next steps

- **Remote workflow:** see the **Open WebUI Remotely** tab
- **Desktop workflow:** see the **Open WebUI on Desktop** tab
- **Browse other models:** [Ollama library](https://ollama.com/library)