Ollama
Ollama is an open-source framework that allows you to run large language models (LLMs) locally on your own hardware. It provides a simplified way to download, configure, and interact with various open-source LLMs without requiring complex setup or cloud resources.
Overview
Ollama lets you:
Run various open-source LLMs locally on your own hardware
Utilize GPU acceleration when available (NVIDIA, AMD, or Intel)
Create and customize model configurations
Interact with models through a simple API
Deploy models in containers
Integrate LLMs into your DevOps workflows
When to Use Ollama
Ollama is particularly useful when:
Privacy is a concern: All data stays on your local machine
Internet connectivity is limited: Models run offline after initial download
Cost is a factor: No subscription or usage fees
Control is important: Full control over model parameters and behavior
DevOps automation: Including code review, documentation generation, and testing
Key Features
Easy Setup: Simple installation process across Linux, macOS, and Windows
Model Library: Access to various models like Llama 2, Mistral, CodeLlama, and more
API Access: RESTful API for integrating with custom applications
GPU Acceleration: Support for NVIDIA CUDA, AMD ROCm, and Intel OneAPI
Docker Support: Container-based deployment for consistent environments
Model Customization: Create custom model configurations with Modelfiles
Documentation Sections
Navigate through the following sections to learn more about Ollama:
Quickstart
Last updated