8/26/2024

Running Deepseek-Coder:33B on NVIDIA 4080 with Ollama

Are you diving into the world of coding with AI? If so, you might be considering using Deepseek-Coder:33B to enhance your programming experience. This blog post will cover everything you need to know about running Deepseek-Coder:33B on the NVIDIA 4080, leveraging the Ollama platform to effortlessly manage and execute your AI tasks.

What is Deepseek-Coder:33B?

Deepseek-Coder:33B is a robust language model specially designed for code generation and understanding. This model is based on a large dataset, specifically trained on coding tasks and natural language data. Developed by DeepSeek, it boasts unique features:

Massive Training Data: Trained using approximately 2 trillion tokens, with a composition of 87% code and 13% natural language, ensuring superior coding ability.
Flexible & Scalable: Available in various model sizes (e.g., 1B, 6.7B, and 33B), enabling you to choose based on your computing capabilities.
State-of-the-art Performance: It has been benchmarked against other coding models and proven to perform exceptionally well in tasks like code completion, automated testing, and even debugging.

To check for more code generation capabilities and performance, visit Deepseek's original model card.

Who is Ollama?

Ollama is an innovative tool that simplifies the deployment and management of large language models, including Deepseek-Coder. It allows you to interact with these models using user-friendly APIs. Ollama's features make it a go-to choice for developers looking to incorporate AI in their workflows.

Easy Installation: Ollama can seamlessly run models on your hardware, be it a high-end GPU or a local server.
Multi-GPU Support: Perfect for leveraging the full potential of GPUs like the NVIDIA 4080.
Real-time Operations: Offers efficient memory management that ensures smooth operations while executing AI tasks.

For more details on how to get started with Ollama, visit the Ollama official site.

Running Deepseek-Coder:33B on an NVIDIA 4080

When considering using the Deepseek-Coder model with the NVIDIA 4080, one of the most frequently asked questions is: What are the hardware requirements and how can we maximize performance?

Setup Requirements

Hardware:
- NVIDIA 4080 GPU: With substantial VRAM (upwards of 16GB-24GB), this GPU is well-suited for running large models.
- RAM: At least 32GB RAM is recommended for smooth performance.
- Processor: A powerful CPU (like the i7 12700K) will help in effectively managing AI workloads.
Software:
- Ollama Platform: For executing the Deepseek model efficiently. Latest version requires checking compatibility with your system.
- CUDA Toolkit: Ensure you’ve got the right CUDA drivers installed for optimal compatibility with the NVIDIA card.

Step-by-Step Installation Guide

Running Deepseek-Coder on NVIDIA 4080 with Ollama can be achieved through the following steps:

Step 1: Install the Necessary Software

Download Ollama from the official site.
Install CUDA and ensure it’s on your system path.
Install the necessary dependencies for your Python environment. You can do this using the following command:
1 2bash pip install torch torchvision torchaudio

Step 2: Download Deepseek-Coder Model

You can easily get the Deepseek model from Hugging Face using:

1
2

bash
huggingface-cli download TheBloke/deepseek-coder-33B-instruct-GGUF

Alternatively, you can download the model files manually as needed by visiting Deepseek's model repository.

Step 3: Configure Ollama for Deepseek-Coder

Edit the Ollama configuration file to optimize the model loading:

text
model=deepseek-coder:33b-instruct-q4_K_M
num_gpu=1  # Adjust according to how many GPUs you want to use.
num_ctx=2048  # Context size for generating text.

Step 4: Running the Model

Crowd your code to effortlessly generate responses!

1
2

bash
ollama run deepseek-coder:33b-instruct

You can also make API calls to your local Ollama server to interact with the model according to your needs.

Known Issues & Troubleshooting

While setting up Deepseek-Coder with NVIDIA 4080 can generally go smoothly, there are some common issues you may run into:

Out of Memory Errors: This could happen due to mismatched configurations. Ensure your
1num_gpu
settings are correctly aligned with your actual setup.
Performance Lags: If you notice any slowdown, check your VRAM usage. You may need to offload certain layers to avoid overloading performance.
Unexpected Outputs: Sometimes, models might give unexpected results. In such cases, try to refine your context settings or the way you frame your queries.

For more specific troubleshooting related to Ollama, engage with their community on GitHub.

Why Use Arsturn to Enhance Your AI Experience?

As you explore the capabilities of Deepseek-Coder, consider amplifying your audience engagement with Arsturn. Arsturn allows you to create sophisticated chatbots powered by AI technology.

Benefits of Using Arsturn:

Effortless Automation: Resulting in less time wasted and more output.
Adaptive Learning: Chatbots can learn from various data sources, offering real-time customer service without constant adjustments from your side.
Insightful Analytics: Track user interactions to refine your approach continuously.

Arsturn is perfect for influencers, businesses, or anyone looking to enhance digital communications through custom chatbots that blend seamlessly with your digital strategy.

Arsturn Plans:

Whether you're getting started or scaling your business, Arsturn has various pricing plans that cater to every size of operation—from the FREE tier with limited credits to premium plans that offer extensive features designed to facilitate top-notch conversational experiences.

Conclusion

Running Deepseek-Coder:33B on NVIDIA 4080 with Ollama enhances your coding performance through powerful AI capabilities. By combining cutting-edge models with robust platforms like Ollama, you can unlock a world of possibilities for development and interaction.

So, are you ready to take your coding skills to the next level with Deepseek-Coder and Ollama? Or maybe you want to create impactful conversations through conversational AI with Arsturn? Regardless of your goals, this journey promises to be exciting. Start implementing AI today!