How to install ollama and run deepseek

How to install ollama and run deepseek

In this guide, we’ll walk you through how to install ollama and run deepseek, adding different models, and understanding what each model offers—including DeepSeek R1 and others.

A Complete Guide to Ollama: Installation, Models, and Usage

Ollama is a powerful tool that simplifies the process of running and managing large language models locally. Whether you’re a developer looking for AI-assisted coding or a researcher exploring natural language processing, Ollama provides an intuitive way to work with various models.

How to install ollama and run deepseek:

Installing Ollama on macOS, Linux, and Windows

Ollama is easy to install on multiple platforms. Follow the steps below to get started.

macOS & Linux Installation

  1. Open a terminal.
  2. Run the following command:curl -fsSL https://ollama.ai/install.sh | sh
  3. Restart your terminal and verify the installation by running:ollama --version

Windows Installation

  1. Download the installer from Ollama’s official website.
  2. Run the installer and follow the setup instructions.
  3. Once installed, open a command prompt and verify the installation with:ollama --version
ollama install deepseek-r1

Using Ollama

Once installed, Ollama provides an easy way to run and manage models with a simple command-line interface.

Running a Model

To run a model, use:

ollama run <model-name>

For example, to run mistral, use:

ollama run mistral

Listing Available Models

To check the models installed on your machine:

ollama list

Pulling a New Model

To download a new model from the registry:

ollama pull <model-name>

For example, to download DeepSeek R1:

ollama pull deepseek-r1

Available Models and Their Features

Ollama supports various AI models optimized for different tasks. Below are some popular ones for how to install ollama and run deepseek:

1. Mistral

  • Size: 7B parameters
  • Type: General-purpose LLM
  • Use case: Coding, writing, chat applications

2. DeepSeek R1

  • Size: 67B parameters
  • Type: Code-focused language model
  • Use case: AI-assisted programming, code generation
  • How to add: ollama pull deepseek-r1

3. Llama 2

  • Size: Available in 7B, 13B, and 70B parameters
  • Type: Open-source LLM from Meta
  • Use case: Conversational AI, creative writing
  • How to add: ollama pull llama2

4. Gemma

  • Size: 2B, 7B parameters
  • Type: Lightweight model by Google DeepMind
  • Use case: Low-resource devices, fast inference
  • How to add: ollama pull gemma

Managing Models

If you no longer need a model, you can remove it using:

ollama rm <model-name>

To update a model to the latest version:

ollama pull <model-name>

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