The Ultimate Way to Run AI Locally on Mac (Apple Silicon & Intel)
RunLocallyAi is the definitive open-source application designed to help you run AI locally with zero friction. Stop guessing which AI models can be run locally on your specific hardware. Our intelligent benchmark engine analyzes your Mac’s CPU, GPU, NPU, and Memory Bandwidth to recommend and install the best LLM to run locally based on real-time data.
Most users don't know how to run ai locally on mac or which model size fits their RAM. RunLocallyAi solves this by bridging the gap between hardware power and AI performance. Whether you have a Mac Mini, Studio, or MacBook Pro, we ensure you run ai at peak efficiency.
- 🔒 Privacy First: All data stays on your machine. Running ai locally means no cloud leaks.
- 💸 Cost Effective: Forget expensive subscriptions. Run ai on mac for free, forever.
- ⚡️ Optimized Performance: We identify the best way to run llm on mac by matching your NPU/GPU specs with the most efficient model quantizations. Zero-copy inference directly on Unified Memory.
Our algorithm performs a deep-dive analysis of your system using low-level APIs (sysctl, IOKit, Metal) to answer: "Which local ai model is best for me?"
- NPU Optimization: Full support for Apple Silicon Neural Engine (ANE).
- Memory Bandwidth Scaling: Precise LLM recommendations based on your unified memory (UMA) capacity and bandwidth.
- VRAM Fit Score: Deterministic algorithm that prevents Out-Of-Memory kernel panics.
Download and run ai models locally tailored for your specific needs, straight from our frequently updated catalog:
- 💻 Coding & Agents: The best llm to run locally for developers (e.g., Qwen Coder, DeepSeek).
- 🧠 Reasoning: High-logic models for complex problem solving (O1-likes).
- 🎨 Creative Suite: Includes local ai image generator mac (Flux, SDXL), local ai video generator mac (Wan, LTX), and text-to-speech tools.
Wondering how to run a local llm? Simply choose a category, and RunLocallyAi handles the download via HuggingFace Hub APIs and environment setup. It’s the easiest way to install llm locally mac.
Experience a stunning UI built for modern macOS (Ventura 13.0+). RunLocallyAi isn't just a technical tool; it's a native-feeling macOS experience.
- Liquid Glass: Translucent materials, dynamic blur layers, and glassmorphism powered by
NSVisualEffectView. - Visual Benchmarks: See your NPU, GPU load, and Memory Bandwidth in real-time.
- Smart Library: Manage all your locally run ai models in one beautiful dashboard.
- Download: Get the latest
.dmgfrom the Releases page. (Universal Binary for Apple Silicon & Intel). - Benchmark: Open the app and let it analyze your mac run llm capabilities.
- Select: Choose from the recommended list (e.g., Llama 3, Qwen, or a specialized local ai image generator).
- Run: Click "Execute" and start chatting or generating locally.
- 100% Native: Built with SwiftUI and SwiftData.
- Zero-Copy Inference: Integrates
MLX-Swiftfor direct Metal/GPU execution without C++ translation overhead. - Universal Binary: Compiled for both
arm64andx86_64without runtime architectural assumptions.
We are building the best way to run llm on mac. If you are an expert in running ai models on mac or macOS development, your contributions are welcome!
- Fork the Project.
- Create your Feature Branch (
git checkout -b feature/AmazingFeature). - Commit your Changes (
git commit -m 'Add some AmazingFeature'). - Push to the Branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
Distributed under the Creative Commons Legal Code License. See LICENSE for more information.