Digestly

Jan 27, 2025

Run DeepSeek R1 Privately on Your Computer

Skill Leap AI - Run DeepSeek R1 Privately on Your Computer

The video provides a step-by-step guide to installing the Deep Seek R1 reasoning model on a local computer, emphasizing its privacy and cost benefits compared to OpenAI's model. The process involves downloading and installing AMA software, selecting the appropriate model size based on computer capabilities, and setting up a user-friendly interface using Docker and Open Web UI. The presenter demonstrates the installation of both the R1 model and Llama 3.3, highlighting the differences in speed and performance based on model size and computer specifications. The video also introduces an e-learning platform offering courses on AI tools, including the Deep Seek R1 model, with a focus on practical applications and user interface customization.

Key Points:

  • Install Deep Seek R1 locally for privacy and cost savings.
  • Use AMA software to download and manage models.
  • Choose model size based on computer's GPU capabilities.
  • Set up Docker and Open Web UI for a user-friendly interface.
  • Explore AI courses for deeper understanding and applications.

Details:

1. 🚀 Getting Started with Deep Seek R1 Installation

1.1. General Insights on Deep Seek R1

1.2. Technical Details and Installation Steps

2. 🤔 Deep Seek R1 vs. Open AI: Initial Insights

  • Deep Seek R1 chatbot is accessible via deepseek.com and can be used directly on the website or installed locally to avoid dependency on the website.
  • Deep Seek R1 provides a user-friendly, non-technical installation process, making it accessible for users without a technical background.
  • The video aims to provide initial insights comparing the capabilities and usage scenarios of Deep Seek R1 and Open AI.
  • Deep Seek R1 offers flexibility in deployment, allowing users to choose between online access and local installation for greater control and privacy.
  • The installation guide for Deep Seek R1 is designed to be straightforward, minimizing barriers to entry for new users.

3. 🛠️ Installing Llama and Deep Seek Locally: A Step-by-Step Guide

  • The Deep Seek V3 model, available since December, can be combined with the Deep Think R1 model to enhance search functionalities.
  • To begin installation, download Olama from ama.com, which supports both Mac and PC systems. Windows users require Windows 10 or later.
  • After downloading, users must set up a command line interface and run the model using a simple passcode and a three-word code.
  • Ensure your system meets the necessary requirements: for Mac users, OS version 10.15 or later is recommended, while PC users should check compatibility with Windows 10 or later.
  • Common installation issues include incorrect passcode entry and command line setup errors. Users are advised to double-check codes and consult the installation guide for troubleshooting.
  • For enhanced performance, consider combining the Deep Seek V3 with the Deep Think R1 model, requiring additional configuration steps detailed in the advanced setup guide.

4. 🔧 Setting Up and Testing Deep Seek R1 on Your Computer

4.1. 🔧 Installation Requirements and Model Specifications

4.2. 🔧 Installation Process and Tips

5. 📦 Integrating Docker and Open Web UI for Enhanced Use

5.1. Installing Large Language Models

5.2. Executing and Running Models Locally

5.3. Improving User Interface Experience

6. 🌐 Exploring Open Web UI with Deep Seek R1 Features

6.1. Docker Installation

6.2. Setup Recap

6.3. Model Installation

6.4. Open Web UI Installation

6.5. Usage and Features of Deep Seek R1

7. 📚 Dive into E-learning and AI Tools: A Comprehensive Overview

7.1. Running Multiple AI Models Locally

7.2. Installing and Managing AI Models

7.3. E-learning Platform Enhancement and Offerings

8. 🔍 Experimenting with Model Sizes and Wrap-Up

8.1. Model Performance Comparison

8.2. Future Testing Plans

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