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How to Use iRun Studio

Master on-device artificial intelligence. Learn how to browse models, load GGUF/MLX weights, configure inference modes, and deploy autonomous tools.

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1

Installation & Device Setup

Download iRun Studio directly from the Apple App Store on macOS (Sonoma/Sequoia), iOS 17+, or iPadOS 17+. The app requires zero accounts or registration to begin using local intelligence.

System Tip: For Mac, 16GB+ Unified Memory is recommended to run 9B–14B parameter models with maximum speed. 8GB Macs and iPhones smoothly run 4B–8B Q4 quantized models.

2

Exploring the Model Browser

Open the right sidebar to access the Model Browser. Models are organized into three clear categories:

  • Language: General chat, coding, and multi-turn reasoning (Gemma, Qwen, DeepSeek, Llama, Bonsai).
  • Vision: Multimodal models for image inspection and visual Q&A.
  • Logic: Specialized mathematical and structured thinking models.

You can download models with 1 click via the built-in Hugging Face browser or manually drop .gguf files into Finder > iRun Docs > LLM-models.

3

Choosing Inference Modes

Tailor how the AI thinks and responds directly from the chat input pills:

⚡ Fast Mode

Optimized for instantaneous answers, translations, and short coding snippets.

🧠 Thinking Mode

Allocates extra chain-of-thought tokens before streaming the answer.

✨ Pro Mode

Enables autonomous tool calling, deep context memory, and subagent delegation.

4

Autonomous Tool Execution

When asked for up-to-date facts or complex tasks, iRun automatically invokes tools (such as web_search or terminal inspection). You can monitor tool execution in real-time with live timer badges and expand citation cards directly in the chat feed.

5

CoreML Diffusion & Workstations

Switch between tabs in iRun Studio to generate images with CoreML Stable Diffusion, build visual IdeaGen concepts, or run multi-file research tasks with DeepSearch.