Workflows/Set up private chat with DeepSeek R1 · 14B

Text / Intermediate

Set up private chat with DeepSeek R1 · 14B

Install Ollama, pull the DeepSeek R1 14B distilled model, start a local chat, and verify the model responds to a first prompt using only the documented Ollama command.

EstimatedSource checked 9/24/2026

LOCALRENTED GPU

Before you begin

Difficulty: Intermediate
Software: Ollama, DeepSeek R1 · 14B (deepseek-r1:14b)
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

Set up private chat with DeepSeek R1 · 14B, step by step.

Install Ollama, pull the DeepSeek R1 14B distilled model, start a local chat, and verify the model responds to a first prompt using only the documented Ollama command.

Choose a package Run its commands Check the result

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

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.

Install Ollama

Install Ollama on Windows, macOS, or Linux according to the Ollama installation instructions for your platform.

Pull and start DeepSeek R1 · 14B

Run the documented Ollama command. It downloads the deepseek-r1:14b package if needed and starts an interactive chat session in your terminal.

ollama run deepseek-r1:14b

Send your first prompt

At the resulting prompt, type a direct user request with no system prompt. For example: Please reason step by step, and put your final answer within \boxed{}: What is 27 multiplied by 14?

Confirm the model responds

After you press Enter, wait for the model to generate an answer in the same terminal. You should see reasoning text beginning with the range 0.5–0.7 (0.6 is recommended).

SUCCESS CHECK · DeepSeek R1 · 14B

Check the first local reply

Ask a short question with a known answer. Confirm the selected local model responds and verify the answer yourself before using it for private work.

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 find or download the selected model

Check the exact model identifier in the publisher run command, confirm Ollama is installed and your network is available, then retry that command.

The model loads slowly or runs out of memory

Close other memory-heavy applications and retry with a shorter context. If the publisher offers a smaller supported package, choose it; otherwise use a suitable rented GPU.

REFERENCE LIBRARY

Sources and files

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

4 SOURCES

01Publisher model card and weightshuggingface.co 02Publisher run instructionsollama.com 03Official Ollama downloadollama.com 04Ollama CLI referencedocs.ollama.com

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

Keep exploring

Text

Beginner

Set up a private AI chat assistant

Install a local runtime, run Qwen3.5 9B, confirm responses, and know when to choose the smaller 4B package.

Build a private local coding assistant

Connect an open coding-capable model in Ollama to Cline, run a small repository task, and review the result locally.

SOFTWAREOllama + Cline

Generate images on your own GPU

Use the official FLUX.2 Klein 4B ComfyUI template with exact model files, a first prompt, and an output check.

SOFTWAREComfyUI

LOCALRENTED GPU

Verified source