How Run DeepSeek Locally with Ollama

#deepseek #ai #discuss #machinelearning

How to Install and Run DeepSeek Locally with Ollama

DeepSeek is a powerful open-source language model, and with Ollama, running it locally becomes effortless. In this guide, I'll walk you through installing Ollama and running DeepSeek-r1:1.5b on your command line.

Step 1: Install Ollama

Ollama provides a simple way to run and manage AI models locally. You can install it using the following commands:

For macOS (via Homebrew)

brew install ollama

For Linux

curl -fsSL https://ollama.ai/install.sh | sh

For Windows (via PowerShell)

iwr -useb https://ollama.ai/install.ps1 | iex

Once installed, restart your terminal or command prompt.

Step 2: Pull DeepSeek Model

Now that Ollama is installed, you need to download the DeepSeek-r1:1.5b model. Run:

ollama pull deepseek-r1:1.5b

This will fetch the model from Ollama’s registry. The first time you run it, the model will be downloaded, so it may take a while depending on your internet speed.

Step 3: Run DeepSeek in Terminal

Once the model is downloaded, you can start an interactive session with it:

ollama run deepseek-r1:1.5b

This will launch the DeepSeek model, allowing you to input prompts and receive AI-generated responses directly from your terminal.

Step 4: Using DeepSeek in a Script

If you want to integrate DeepSeek into a script, you can use Ollama's API:

import ollama

response = ollama.chat("deepseek-r1:1.5b", "Hello, how can you assist me?")
print(response)

Here is AI generated movie for you to chill:

Conclusion

Running DeepSeek locally is now easier than ever with Ollama. Whether you're using it for personal projects, AI research, or development, this guide should help you get started. Let me know if you are still using ChatGPT or trying to over on deepseek!

Happy coding! 🚀

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