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+# Setting Up OpenUI with Ollama: Local-First Setup with Cloud Model Fallback
+
+This guide walks you through setting up OpenUI with Ollama on your local machine, step by step, with notes from real setup attempts and common fixes.
+
+This setup keeps the Ollama runtime local while using a cloud-hosted model for more reliable OpenUI generation.
+
+This guide is beginner-friendly. Even if you've never worked with Docker or terminal commands, I'll walk you through every step. Let's get started.
+
+## Companion repo
+
+[OpenUI + Ollama Local Setup Repo](https://github.com/shogun444/openui-ollama-localsetup)
+
+---
+
+## What You'll Need
+
+Before we start, make sure you have these installed:
+
+- **Node.js** - Download from [nodejs.org](https://nodejs.org/en/download)
+- **Docker Desktop** - Download from [docker.com](https://www.docker.com/products/docker-desktop/)
+- **Git** - Download from [git-scm.com](https://git-scm.com/downloads)
+
+**System Requirements:**
+
+- 8GB RAM minimum (16GB recommended)
+- 10GB free disk space
+- Windows 10+, macOS 10.15+, or Linux
+
+---
+
+## Installing Ollama
+
+Ollama is the tool that lets us run AI models locally. Here's how to set it up:
+
+### Step 1: Download Ollama using Windows
+
+1. Go to [ollama.com/download](https://ollama.com/download)
+2. Click the download button for your OS (Windows, Mac, or Linux)
+
+
+
+3. After the setup is downloaded open it and press Install.
+
+
+
+4. When it's done, you should see the Ollama icon in your system tray. It means it has installed successfully.
+
+
+
+You can also check by opening your terminal (Command Prompt on Windows, Terminal on Mac) and type:
+
+```bash
+ollama
+```
+
+You should see a list of available commands. This confirms Ollama installed correctly.
+
+That's it for Ollama setup.
+
+---
+
+## The Honest Truth About Local Models
+
+I tested a lot of small local models before writing this guide. I want to be straight with you because I wasted days on this.
+
+Small local models don't work well for OpenUI. Models like ministral-3:3b, phi4-mini:3.8b, qwen2.5:3b, or gemma4:e2b variants will:
+
+1. Generate partial UI (just a title, missing the form fields)
+2. Show weird values like "0" instead of actual data
+3. Break syntax mid-generation
+4. Fail even with custom Modelfiles, Temperature 0, strict prompts, and extended context windows.
+
+What actually works: Cloud-hosted models with bigger context windows. The minimax-m2.7:cloud model works great with OpenUI. You access it through Ollama, and the Ollama runtime itself stays local while the model runs on cloud hardware for reliability.
+
+## Recommended Models for OpenUI
+
+These models are accessible through [Ollama](https://ollama.com/search) and provide the best stability for openui-lang generation.
+
+### Performance Tier List
+
+| Model Name | Category | Best For | Recommendation |
+| ---------------------- | ------------- | ----------------------------------------------- | ------------------ |
+| minimax-m2.7:cloud | All-Rounder | High-speed, stable UI generation | ⭐ **Recommended** |
+| qwen3-coder-next:cloud | Developer Pro | Complex logic and deep coding tasks | |
+| qwen3-next:80b-cloud | Heavyweight | Maximum reasoning for complex dashboard layouts | |
+| gemma4:31b-cloud | Balanced | Great middle-ground for creative UI prompts | |
+| kimi-k2.5:cloud | Context King | Excellent for long-form UI descriptions | |
+| glm-5.1:cloud | Multi-purpose | Solid alternative for standard form generation | |
+| nemotron-3-super:cloud | Performance | Optimized for fast responses and clean syntax | |
+
+### 💡 Pro-Tip
+
+You can find more models and details at the official [Ollama Search](https://ollama.com/search).
+
+### How to Switch Models
+
+To swap your engine, update the `MODEL` variable. Use this command to automate the deployment with the recommended **minimax-m2.7:cloud** model:
+
+```bash
+docker run --rm -p 3000:3000 -e OPENAI_BASE_URL=http://host.docker.internal:11434/v1 -e OPENAI_API_KEY=ollama -e MODEL=minimax-m2.7:cloud openui-chat
+```
+
+### Cloning OpenUI
+
+Now let's get the OpenUI code onto your machine.
+
+### Step 2: Clone the Repository
+
+Open your terminal and run:
+
+```bash
+git clone https://github.com/thesysdev/openui
+cd openui
+code .
+```
+
+Or open the folder in whatever editor you prefer.
+
+I prefer VS Code.
+
+### Building and Running OpenUI
+
+### Step 3: Update the MODEL variable
+
+The model is hardcoded in route.ts, so we need to update it to accept Docker environment variables.
+
+To change it:
+
+Navigate to the file:
+
+`examples` -> `openui-chat` -> `src` -> `app` -> `api` -> `chat` -> `route.ts`
+
+
+
+
+
+
+```diff
+-const MODEL = "gpt-5.4";
++const MODEL = process.env.MODEL || "gpt-5.4";
+```
+
+Explanation:
+
+- `process.env.MODEL`: This allows us to inject the model name via Docker.
+- `|| "gpt-5.4"`: This is a fallback in case no variable is provided.
+
+### Step 4: Start Docker Engine locally, then build the Docker image
+
+If you're in the root folder:
+
+```bash
+docker build -f examples/openui-chat/Dockerfile -t openui-chat .
+```
+
+Wait for the build to complete. It might take a few minutes.
+
+### Step 5: Run OpenUI with Ollama
+
+Now for the magic command. Make sure Ollama is running (check your system tray), then:
+
+```bash
+docker run --rm -p 3000:3000 -e OPENAI_BASE_URL=http://host.docker.internal:11434/v1 -e OPENAI_API_KEY=ollama -e MODEL=minimax-m2.7:cloud openui-chat
+```
+
+What this does:
+
+- `-p 3000:3000` — Opens port 3000 on your machine
+- `OPENAI_BASE_URL` — Points to your local Ollama instance
+- `MODEL` — I used the minimax cloud model (you can swap this for others)
+
+### Step 6: Test It
+
+Open your browser to
+
+```bash
+http://localhost:3000
+```
+
+You should see the OpenUI chat interface
+
+
+Click any prompt shown on the screen.
+If you get a response in the frontend, the setup is complete.
+
+
+
+Try this prompt:
+Create a contact form with name, email, and message fields
+If a form appears, you're all set!
+
+My Results:
+
+
+
+
+## Common Issues and Fixes
+
+### Connection Refused Error
+
+**Problem:**
+Ollama isn't accessible from Docker.
+
+**Fix:**
+
+- Make sure Ollama is running
+- Check your system tray for the Ollama icon
+- If it's not running, start it manually:
+
+```bash
+ollama serve
+```
+
+---
+
+### Model Not Found
+
+**Problem:**
+The model name is incorrect or not installed.
+
+**Fix:**
+
+- Double-check the model name
+- Ensure the model is available in your Ollama setup
+- Some models may require API keys or authentication
+
+---
+
+### Blank Screen or Partial UI
+
+**Problem:**
+The model generated broken `openui-lang` code.
+
+**Fix:**
+
+- This usually happens with smaller local models
+- Switch to a more reliable model like `minimax-m2.7:cloud`
+- Use cloud models for better and faster outputs
+
+---
+
+### Docker Build Fails
+
+**Problem:**
+Docker image fails to build due to dependency or configuration issues.
+
+**Fix:**
+
+- Make sure Docker Desktop is running
+- Check the terminal logs for the exact error
+- Rebuild the image without cache
+
+- Make sure you're running the command from the project root directory:
+
+```bash
+docker rmi openui-chat
+```
+
+Then rebuild:
+
+```bash
+docker build --no-cache -f examples/openui-chat/Dockerfile -t openui-chat .
+```
+
+or
+
+- Retry running the container
+
+---
+
+## What You Can Build
+
+With this setup, you can generate:
+
+- Contact forms
+- Data tables
+- Charts and graphs
+- Dashboard layouts
+- Interactive cards
+
+Just describe what you want in plain English and OpenUI will generate the UI.
+
+---
+
+## The Catch
+
+This setup works well for UI generation, but **tool calling is limited**.
+
+Features like:
+
+- Weather
+- Stock data
+- Calculators
+
+require external APIs (e.g. OpenAI) to function properly.
+
+For pure UI generation:
+No expensive API bills or token costs; the Ollama runtime stays local while the model is cloud-hosted for stability.
+
+---
+
+## Wrapping Up
+
+You now have a local-first generative UI setup with a cloud model fallback for reliability.
+
+- No expensive API bills or token costs
+- No API key management
+
+Try different prompts, inspect the generated UI, and iterate.
+
+If something breaks, it's usually the model—not OpenUI.
+
+**Happy building.**
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