Local Deployment of DeepSeek R1

INFO

Run the DeepSeek R1 model locally via Ollama.

Ollama

Ollama is an open-source project focused on running, managing, and configuring large language models locally. Download the latest release from Ollama GitHub (e.g.,Ollama-darwin.zip), extract it, and double-click to install. After installation, use the command-line tool ollama.

> ollama -h
Large language model runner

Usage:
  ollama [flags]
  ollama [command]

Available Commands:
  serve       Start ollama
  create      Create a model from a Modelfile
  show        Show information for a model
  run         Run a model
  stop        Stop a running model
  pull        Pull a model from a registry
  push        Push a model to a registry
  list        List models
  ps          List running models
  cp          Copy a model
  rm          Remove a model
  help        Help about any command

DeepSeek R1

The DeepSeek R1 model includes seven variants with different parameter sizes, six of which are distilled models.

TIP

For personal computers, we recommend the 14b variant, which requires approximately 9GB of storage.

Running the Model

ollama run deepseek-r1:14b

The model will be automatically downloaded on the first run. After launching DeepSeek, interact with it via the command-line interface or Web UI.

Starting a Conversation

>>> Who are you?

Ending a Conversation

>>> /bye

Web UI

Open WebUI is a web-based interface that supports Ollama, OpenAI, and DeepSeek APIs.

Installation

# Install via pip
pip install open-webui

# For Python versions above 3.11
pipx install --fetch-missing-python --python 3.11 open-webui

# Start the service
open-webui serve

After starting the service, access the Web UI at: http://localhost:8080.