Ollama: Run Large Language Models Locally with Ease

Ollama is a lightweight, user-friendly tool designed to run large language models (LLMs) directly on your computer. Whether you’re a developer, researcher, or enthusiast, Ollama simplifies working with open-source LLMs like Llama 2, Mistral, Vicuna, CodeLlama, and more—all locally, ensuring privacy, flexibility, and control.

Key Features

• Wide Model Compatibility: Ollama supports an array of models, including uncensored versions like Llama 2 Uncensored, specialized models like WizardCoder for Python, and even DeepSeek Coder, a model trained extensively on both code and English natural language, ideal for coding tasks.
• Integrated Modelfile System: Models are packaged with weights, configurations, and data into a single Modelfile, making deployment simple and efficient.
• Local Hosting Benefits: Run models locally to maintain data privacy, reduce costs, and iterate quickly without needing a cloud-based service.

Popular Models on Ollama

1. Llama 2: A general-purpose model with over 200K downloads.
2. Mistral 7B: A cutting-edge 7B parameter model, optimized for OpenOrca datasets.
3. CodeLlama: Tailored for generating and discussing code.
4. DeepSeek Coder: Designed for developers, excelling at coding and English comprehension.
5. WizardCoder: Focused on Python coding tasks.

How to Get Started

1. Download and install Ollama from ollama.ai. For macOS and Linux, run: curl https://ollama.ai/install.sh | sh
2. Once installed, run models locally with commands like: ollama run codellama Ollama will automatically download and execute the model if not already installed.

Python Integration

You can also use Ollama with Python via the LiteLLM library. Here’s an example:

from litellm import completion  

response = completion(  
    model="ollama/deepseek-coder",  
    messages=[{"content": "Write a Python function to sort a list.", "role": "user"}],  
    api_base="http://localhost:11434"  
)  

print(response) 

Why Choose Ollama?

• Privacy: No data leaves your machine.
• Cost-Effective: No recurring cloud API costs.
• Customization: Fine-tune models for your specific needs.
• Versatility: Supports a wide range of models for various use cases.

Ollama is an ideal tool for anyone looking to run LLMs locally, from general-purpose models to specialized ones like DeepSeek Coder and WizardCoder. With its robust features and ease of use, Ollama empowers users to explore, build, and innovate with LLMs.

Visit Ollama’s Model Library to explore all supported models.