How to Use DeepSeek: A Comprehensive Guide

Author:Murphy  |  View: 20066  |  Time: 2025-03-04 17:19:50

DeepSeek is a powerful AI tool designed to assist with various tasks, from programming assistance to data analysis. Whether you're a developer, researcher, or business professional, DeepSeek can enhance your workflow. Here's a step-by-step guide to help you get started with DeepSeek.

1. Introduction to DeepSeek

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DeepSeek is an advanced AI model known for its high-speed data processing and sophisticated reasoning capabilities. It has outperformed many other models in various tests, making it a valuable tool for numerous applications.

2. Setting Up Your Environment

System Requirements

To run DeepSeek, ensure your system meets the following requirements:

  • Operating System: Linux (preferred), Windows with WSL, or macOS
  • Hardware: GPU with CUDA support, at least 16 GB of RAM
  • Software: Python 3.8 or higher, CUDA, and cuDNN

Installation Guide

1. Install Python

  1. Go to python.org.
  2. Download the latest version of Python (3.8 or higher).
  3. Run the installer and make sure to check the box that says 'Add python.exe to PATH'.
  4. Complete the installation process.

2. Install CUDA and cuDNN (for GPU support)

  1. Download and install CUDA from the NVIDIA website.
  2. Download and install cuDNN from the NVIDIA website.

3. Clone the DeepSeek Repository

  1. Open your Command Prompt or Terminal.
  2. Run the following command to clone the DeepSeek repository:

git clone https://github.com/deepseek-ai/DeepSeek-V3.git

  1. Navigate to the cloned directory:

cd DeepSeek-V3

5. Set Up the Environment

  1. Create a virtual environment (optional but recommended):

python -m venv deepseek-env

  1. Activate the virtual environment:
  • On Windows:

deepseek-env\Scripts\activate

  • On Linux/macOS:

source deepseek-env/bin/activate

6. Install Project Dependencies

  1. Inside the DeepSeek directory, run:

cd DeepSeek-V3/inferencepip install -r requirements.txt

Running DeepSeek

  1. Download the model weights from Hugging Face, and put them into /path/to/DeepSeek-V3 folder. Model Downloads

Model, Total Params, Activated Params, Context Length, Download

DeepSeek-V3-Base, 671B, 37B, 128K,

Tags: DeepSeek DeepSeek V3

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