DeepSeek’s AI Coding Assistant: Install DeepSeek-R1-32B-Cline Locally with Ollama and VSCode

Prerequisites

The minimum system requirements for this use case are:

• Note: The prerequisites for this are highly variable across use cases. A high-end configuration could be used for a large-scale deployment.

Step-by-Step Process to Set up DeepSeek-R1-32B-Cline Locally

Step 1: Setting up a NodeShift Account

Visit app.nodeshift.com and create an account by filling in basic details, or continue signing up with your Google/GitHub account.

Step 2: Create a GPU Node

After accessing your account, you should see a dashboard (see image), now:

1. Navigate to the menu on the left side.
2. Click on the GPU Nodes option.
3. Click on Start to start creating your very first GPU node.

Step 3: Selecting configuration for GPU (model, region, storage)

1. For this tutorial, we’ll be using the RTX 4090 GPU; however, you can choose any GPU of your choice based on your needs.
2. Similarly, we’ll opt for 500GB storage by sliding the bar. You can also select the region where you want your GPU to reside from the available ones.

Step 4: Choose GPU Configuration and Authentication method

1. After selecting your required configuration options, you’ll see the available VMs in your region and according to (or very close to) your configuration. In our case, we’ll choose a 1x RTX 4090 GPU node with 12 vCPUs/96GB RAM/500 GB SSD.
2. Next, you’ll need to select an authentication method. Two methods are available: Password and SSH Key. We recommend using SSH keys, as…

Step 5: Configure Ollama

1. For this, you’ll first need to install the “Remote-SSH” Extension by Microsoft on VS Code.
2. Type “Remote-SSH: Connect to Host” on the Command Palette.
3. Enter the host details, such as username and SSH password, and you should be connected.

Step 6: Install Cline Extension

1. For this, you’ll need to install the Cline extension on Visual Studio Code.
2. Click on the icon to Configure the model settings.
3. Select Ollama as the API Provider and nvjob/DeepSeek-R1-32B-Cline in the Model ID.

Step 7: Use the Coding Assistant in your code

1. To demonstrate how you can use this AI coding assistant with your code, we have created a sample code file named test_app.py with the following example code.
2. Next, with the code file opened, click on the Cline icon and Start a new task.
3. Type the task you want the assistant to perform. For example: “Describe the code in @/test_app.py in detail.”
4. Here’s the response generated by the Coding assistant for the prompt above:

Conclusion

In this guide, we’ve covered how to install and configure DeepSeek-R1-32B-Cline locally using Ollama and integrate it with VSCode for a seamless AI-powered coding experience. This setup not only boosts development efficiency but also ensures data privacy by keeping operations local. We deployed our model through NodeShift’s cloud dashboard, which complements this model by providing scalable infrastructure and optimized deployment capabilities, making it easier for developers to manage their AI-driven development environments.

Frequently Asked Questions

Q: What is NodeShift?
A: NodeShift is a cloud platform that provides scalable infrastructure and optimized deployment capabilities for AI-driven development environments.

Q: How do I set up my NodeShift account?
A: Visit app.nodeshift.com and create an account by filling in basic details, or continue signing up with your Google/GitHub account.

Q: What is Ollama?
A: Ollama is a cloud-based AI model that provides intelligent code suggestions, error detection, and productivity enhancements for developers.

Q: How do I integrate Ollama with VSCode?
A: You can integrate Ollama with VSCode by installing the Cline extension and configuring the model settings.