Run DeepSeek R1 with Ollama on Windows - 100% Local Solution

On January 20, 2025, DeepSeek released its first reasoning model, DeepSeek-R1, which demonstrates performance comparable to OpenAI’s o1 model in mathematics, coding, and reasoning tasks.

Its open-source nature allows developers to freely use, modify, and commercialize it, which has garnered significant attention within the AI community. Additionally, the model achieves high efficiency at a lower cost and also provides distillation technology, enabling the transfer of knowledge from larger models to smaller ones, thereby reducing computational resource requirements.

DeepSeek-R1 Local Deployment

1. Ollama

Download the Ollama software: Download Ollama, double-click to install.

You can use the following command to check if Ollama is installed successfully:

ollama --version 

2. Run the model

You can check the official website for the model and find the commands

A model with 1.5B (1.5 billion) parameters is considered a relatively smaller-scale LLM compared to larger models like 7B, 13B, or 65B parameters, which require significantly more computational resources.

Using a 1.5B parameter model is often a trade-off between efficiency and performance, making it more suitable for environments with limited hardware while still maintaining reasonable accuracy and capabilities.

ollama run deepseek-r1:1.5b 

Now, we can try sending a message to the DeepSeek-local model.

>>> give me code about Python Program to Add Two Numbers

3. Result

When using DeepSeek-R1, the model generates not only answers but also intermediate steps that outline its logical reasoning.

<think> Okay, the user asked for a Python program to add two numbers. I need to provide a clear and simple solution. First, I'll start by defining two variables, a and b. Then, I'll prompt the user to input their values using the input() function. I should consider using float() to handle decimal inputs because some people might enter numbers with decimals. That way, the addition is precise. Next, I'll write the sum by adding a and b together and store it in a variable called total. After calculating the sum, I'll display both original numbers and their sum. Using print() will make this easy for the user to see. I should also add an example so the user can test their own numbers. That way, they can see how the program works when they run it. </think> 

Here's a simple Python program that adds two numbers:

# Define the two numbers a = float(input("Enter first number: ")) b = float(input("Enter second number: ")) # Calculate the sum total = a + b # Display the result print(f"The sum of {a} and {b} is {total}") 

Explanation:

1. Define the numbers: The program first reads two numbers from the user using input() and converts them to floating-point numbers.
2. Calculate the sum: It adds the two numbers together and stores the result in a variable called total.
3. Display the result: Finally, it prints out the sum with a formatted string that includes both original numbers.

You can run this program by copying the code into a Python file and executing it using a text editor or the Python
command line.

4. Evaluation

The code generation is correct, with a total response time of 26 seconds.

CPU

Model: AMD Ryzen 7 3700X 8-Core Processor
Cores: 8 cores / 16 threads
Base Clock: 3.59 GHz

Memory

Capacity: 16GB

5. Stop the model

# List running models ollama ps 

# Stop a running model ollama stop deepseek-r1:1.5b 

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