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Run DeepSeek-R1 locally with Ollama on Docker

· 2 min read

Would you like to run local LLMs, here is how you can do it with Ollama and the new DeepSeek-R1 model that is breaking the boundaries of AI. 🚀

For those of us passionate about pushing the boundaries of AI, this is a game changer. 💡

Being able to run powerful language models locally, with the flexibility to fine-tune and experiment in a more personalized and secure environment, opens up so many possibilities.

What is Ollama?​

Ollama is a tool that allows you to run LLMs locally, securely, and efficiently. It is a powerful tool that allows you to run LLMs in a Docker container, and it is designed to be easy to use and flexible.

What is DeepSeek-R1?​

DeepSeek-R1 is a powerful language model that is designed to be easy to use and flexible. It is a model that is designed to be able to understand and generate human-like text, and it is trained on a large dataset of text from the internet.

How to run DeepSeek-R1 locally with Ollama on Docker?​

Steps to run DeepSeek AI locally with Ollama on Docker:

# Install Ollama
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
# Pull the DeepSeek-R1 model
docker exec -it ollama ollama run deepseek-r1:7b
# Start chatting with DeepSeek-R1 - Web UI
docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main

Open http://localhost:3000 in your browser, and you are done!

Let's make AI work for us, locally, efficiently, and creatively! 💥

Step by step screenshots​

Step by step

GIF generated with ezgic.com. 🎨

Go Rebels! ✊🏻