How to Run DeepSeek Locally: A Step-by-Step Guide
Last Updated on February 10, 2025 by Editorial Team
Author(s): MD Rafsun Sheikh
Originally published on Towards AI.
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Running DeepSeek locally ensures privacy, performance, and flexibility. You are in full control of your data right on your device without any dependencies on cloud servers: no API restrictions, much faster responses, and full ownership of your AI environment. Be it coding, data analysis, or experimenting with AI-driven applications, DeepSeek R1 will provide an unparalleled on-device experience.
Clap my article 50 times, that will really really help me out and boost this article to others.👏Follow me on Medium, LinkedIn, and visit my website to get my latest work and article 🫶No API limits — You own the model with no third-party restrictions.No cloud dependency — Everything runs on your machine.Optimized performance — Take full advantage of CPU and GPU for peak efficiency.Customizable experience — Fine-tune models, tweak parameters, and expand capabilities.Secure and private — None of your data ever leaves your system.Offline Availability — Work with AI models even without an internet connection.
To run DeepSeek R1 locally, we’ll use Ollama (a lightweight runtime for AI models) and Open WebUI (a ChatGPT-style interface). Let’s break down the process step by step.
Ollama is the engine that runs… Read the full blog for free on Medium.
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