How To Run Deepseek-coder 33b On Ollama? Complete Guide

Deepseek-Coder 33B is a state-of-the-art AI model designed specifically for coding and software development. There are certain steps to follow to get it running on Ollama. In this guide, we will discuss the system requirements, installation, configuration, and common troubleshooting in detail.

System Requirements

To run Deepseek-Coder 33B on Ollama, your system must have the following specifications:

Hardware Requirements:

• CPU: At least 8-Core processor (Intel/AMD)
• GPU: NVIDIA RTX 3090 or better (with CUDA support)
• RAM: At least 32GB (64GB recommended)
• Storage: At least 100GB SSD (NVMe preferred)

Software Requirements:

• Operating System: Ubuntu 20.04+ / Windows 11 (with WSL2)
• Python: 3.8 or later
• CUDA & cuDNN: Install from NVIDIA’s official website
• Docker: If you want to run in a containerized environment
• Ollama: Must be installed

Installation Steps

1. Install the required software

If you don’t already have Python and CUDA installed, install them:

On Ubuntu:

sudo apt update && sudo apt upgrade -y
sudo apt install python3 python3-pip git -y

On Windows (WSL2):

wsl –install

Then open Ubuntu and run the commands above.

2. Install NVIDIA drivers and CUDA

Install CUDA and cuDNN according to your GPU from NVIDIA’s official site.

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
zsudo dpkg -i cuda-keyring_1.0-1_all.deb
xsudo apt update
xsudo apt install -y cuda

3. Install Ollama

Use the following command to install Ollama:

Corel -Fussl http://alma.e/install.sh | sh

On Windows, you install in WSL2 or download the installer from the official Ollama website.

4. Download the Deepseek-Coder 33B model

Run the following command to download the model via Ollama:

ollama pull deepseek-coder:33b

This process may take some time because the model size is large.

How to run and use Deepseek-Coder 33B

1. Run the model

Use the following command to run the model:

ollama run deepseek-coder:33b

2. Interact with the model

You can use the Python API or CLI to interact with the model:

ollama chat deepseek-coder:33b

Via Python API:

import ollama
response = ollama.chat(“deepseek-coder:33b”, “Debug this code:”)
print(response)

Common issues and solutions

Issue: Model not downloading

Solution:

• Make sure you have a stable internet connection.
• Use a VPN if the model is blocked in a specific area.
• Run ollama clean before running the command again.

Issue: CUDA error is occurring

Solution:

• Verify that the GPU is being recognized by running the nvidia-smi command.
• Install the latest NVIDIA driver.
• Try the export CUDA_VISIBLE_DEVICES=0 command.

Installing the required software

Installing Ollama:

• Ollama is a powerful tool used to run various models. First, you need to install Ollama on your system.
• To install Ollama, you can get instructions from its official GitHub repository.

Python and required libraries:

• Make sure you have Python 3.7 or later installed on your system.
• Use the following commands to install the required libraries:

Conclusion

With this guide, you have learned how to successfully run the Deepseek-Coder model on Ollama. You can now use this model in your projects and adjust the configuration for further improvements.

If you encounter any difficulties at any stage, check the Ollama and Hugging Face documentation or ask for help on the community forums.

FAQs

1. Is Deepseek-Coder 33B available for free?

No, it is a premium model that can be obtained from specific platforms.

2. Can I run Deepseek-Coder 33B without a GPU?

Yes, but it will be very slow, GPU is recommended.

3. Can it be installed directly on Windows?

Can be run on Windows using WSL2.

4. What is the size of the model?

About 30GB+, so fast internet and storage are required.

5. Is there any other platform supported besides Ollama?

Yes, but Ollama is the best option.

6. How can the model be updated?

Use the ollama pull deepseek-coder:latest command.

7. How can the model results be improved?

By adopting more standard prompts and better code conventions.

8. Does Deepseek-Coder 33B support different programming languages?

Yes, it can work in many languages ​​including Python, C++, Java.

9. What to do if there is a problem with the installation?

See the official documentation or get help from the community forums.

10. Can I run the model on the cloud?

Yes, it can be run on platforms like Google Cloud, AWS, or Azure.