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DeepSeek R1 is a cutting-edge AI model designed for complex reasoning tasks, comparable in performance to OpenAI's models. Running it locally on your macOS Sequoia allows you to maintain privacy, reduce latency, and have full control over your AI interactions.
In this guide, we’ll detail each step required to install and run DeepSeek R1 using the Ollama platform.
Running DeepSeek R1 on your Mac ensures privacy, offline access, and full control over AI interactions. This guide walks you through installation, setup, and usage using Ollama, a lightweight tool for local AI model management.
32b
or 70b
).Ollama simplifies running AI models locally. Follow these steps:
.dmg
file and drag Ollama to the Applications folder.Open Terminal and run:
ollama --version
Choose a model size based on your hardware:
Model Size | RAM Requirement | Use Case |
---|---|---|
1.5b |
4GB+ | Light tasks (e.g., text generation) |
7b |
8GB+ | Balanced performance |
14b |
16GB+ | Advanced reasoning |
70b |
32GB+ | Heavy-duty tasks |
Run the command below (replace 7b
with your preferred size):
ollama run deepseek-r1:7b
Note: The model will download automatically. Wait for the process to complete.
After downloading, query the model directly:
ollama run deepseek-r1:7b "Explain quantum computing in simple terms."
Quantum computing uses qubits to perform calculations. Unlike classical bits (0 or 1), qubits can exist in multiple states simultaneously, enabling faster problem-solving for specific tasks.
ollama run deepseek-r1:7b
without a query to enter interactive chat mode.Customize Output: Use flags like --temperature
(0–1) to control creativity:
ollama run deepseek-r1:7b --temperature 0.7 "Write a poem about the ocean."
For a ChatGPT-like experience, use Chatbox:
http://127.0.0.1:11434
.deepseek-r1:7b
model and start chatting!1.5b
or 7b
before upgrading to larger models.For terminal monitoring, install htop
:
brew install htop && htop
deepseek-r1:7b
).Ollama Crashes? Restart the service:
ollama serve
You’ve now set up DeepSeek R1 on macOS Sequoia 15.3! Whether for research, coding, or creative projects, this setup lets you harness AI power locally without compromising data privacy. Experiment with different model sizes and interfaces to find your ideal workflow.
Next Steps: Explore other Ollama-supported models like Llama 3 or Mistral for diverse AI tasks.
This version improves readability with tables, code snippets, troubleshooting tips, and clear examples while maintaining a professional yet approachable tone.