Text / Beginner

Run a private reasoning assistant with DeepSeek R1 · 14B

Run DeepSeek R1 14B privately with Ollama. Start the documented package, try a known reasoning problem, and check the answer before using it for harder work.

EstimatedSource checked 9/24/2026
LOCALRENTED GPU

Before you begin

Difficulty
Beginner
Software
Ollama, DeepSeek R1 14B (deepseek-r1:14b model)
Hardware
For the publisher's 9.0 GB Ollama text package at a short 4K context, we estimate at least 16 GB GPU memory or 24 GB Apple unified memory. For a more comfortable starting point, use 24 GB GPU memory or 32 GB unified memory. These are capacity estimates, not speed tests; longer context and other apps need additional headroom.
TEXT / OLLAMASOURCE-LINKED SETUP

Run a private reasoning assistant with DeepSeek R1 · 14B, step by step.

Run DeepSeek R1 14B privately with Ollama. Start the documented package, try a known reasoning problem, and check the answer before using it for harder work.

Choose a package Run its commands Check the result
01
BEFORE YOU BEGIN

The documented package

This setup uses the package documented for this task. Review its source and supported platforms before starting.

Save your machine in My Hardware to get an automatic starting choice. You can always choose any package yourself.

CURRENT SETUP

DeepSeek R1 · 14B · official

For the publisher's 9.0 GB Ollama text package at a short 4K context, we estimate at least 16 GB GPU memory or 24 GB Apple unified memory. For a more comfortable starting point, use 24 GB GPU memory or 32 GB unified memory. These are capacity estimates, not speed tests; longer context and other apps need additional headroom.

View weight source
02
THE WORKFLOW

Set up DeepSeek R1 · 14B on your machine

Pick your operating system. Every command below is for the selected package and runtime.

Install Ollama for this operating system before running the model command.

01

Install Ollama

Install Ollama for your operating system from its official download page, then open a terminal.

02

Pull and launch DeepSeek R1 14B

In a terminal, run the exact Ollama command for the 14B distilled model. This pulls the deepseek-r1:14b package if needed and starts an interactive session. Keep the terminal open.

ollama run deepseek-r1:14b
03

Choose a suitable context and settings

The Ollama package is about 9 GB, and longer context needs more memory. Start with a short context. For math tasks, DeepSeek recommends asking for a step-by-step answer and putting the final result in \boxed{}.

04

Start a specific reasoning task

At the Ollama prompt, type: “What is 27 × 43? Please reason step by step and put the final answer in \boxed{}.”

05

Check the reasoning response

Read the model’s answer in your terminal. The correct result is 1,161. Check the arithmetic yourself before relying on a longer response.

03
SUCCESS CHECK · DeepSeek R1 · 14B

Check a known reasoning problem

Try a short multi-step problem with a known result. Verify the final answer and key steps independently before increasing context.

This is a source-linked setup, not a YouRunAI hardware test. Confirm your exact runtime version, package, and output before relying on it.

Back to setup steps

When it doesn’t go to plan

Ollama cannot download or start the 14B package

Check your Ollama installation, network connection, and free disk space. The package is about 9 GB; run the exact model command again after fixing the issue.

The model is too slow or runs out of memory

Close memory-heavy applications and begin with a short context. Use a machine with more memory or a suitable rented GPU if it still does not respond comfortably.

The answer looks plausible but is wrong

Use a problem with a known result, check the intermediate arithmetic, and treat the model’s reasoning as a draft rather than proof.

REFERENCE LIBRARY

Sources and files

Original instructions, model files, and compatibility notes behind this setup.

4 SOURCES

The model behind this workflow

DeepSeek R1 · 14B
MY HARDWARE

Will it run on your machine?

Save your machine to see a personalized rating and its reasoning.

Add my hardware

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