Getting Started with DeepSeek LLM using Ollama locally

DeepSeek LLM, launched in early 2024, is a language model with 67 billion parameters and bilingual support for English and Chinese. DeepSeek R1, a compact AI model, is optimized for local hardware and excels in reasoning, coding, and technical tasks. Running DeepSeek R1 locally provides benefits in privacy, speed, cost, customization, and offline deployment. The post guides setting up DeepSeek R1 with Ollama, Open WebUI, and Docker, highlighting its superior reasoning capabilities and cost-efficiency.

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Jan 31, 2025•8m read time•From dev.to

Table of contents

DeepSeek LLM Vs DeepSeek R1 How it is different from ChatGPT?🎯 Why Run DeepSeek R1 Locally?What Makes DeepSeek R1 Special?DeepSeek R1 - The "Reasoning" Model Integrating DeepSeek R1 with Ollama, Open WebUI, and Docker Prerequisites Minimal MacBook Requirements Key Considerations 1. Install Docker Desktop 2. Installing Ollama 3. Running Open WebUI 4. Pull DeepSeek R1 model using OpenWeb UI 5. Start querying and interacting with DeepSeek Model Conclusion