TL;DR # Install Ollama and pull models curl -fsSL https://ollama.com/install.sh | sh ollama pull qwen2.5-coder:7b ollama pull codellama:7b # Verify Ollama is running curl http://localhost:11434/api/tags Install the Continue extension from the VS Code marketplace, open ~/.continue/config.json, point it at your local Ollama instance, and start coding with zero cloud dependencies. ...
Install LM Studio for Local AI Model Hosting TL;DR LM Studio is a desktop GUI application that lets you run large language models locally without sending data to cloud providers. Download the installer from lmstudio.ai for your operating system – it supports macOS, Windows, and Linux. The application is free for personal use and provides a user-friendly interface for downloading models from Hugging Face and running them on your hardware. ...
Open WebUI Functions for Local AI Model Integration TL;DR Open WebUI Functions transform your local LLM from a simple chat interface into a programmable AI platform with real-world capabilities. Functions are Python-based tools that execute during conversations, letting your models query databases, scrape websites, call external APIs, or interact with local services – all without sending data to cloud providers. ...
Self-Host AnythingLLM with Ollama Integration TL;DR AnythingLLM provides a complete document management and chat interface for local LLMs, with native Ollama integration that keeps your data entirely on your infrastructure. This guide walks through deploying both services on a single Linux host, configuring secure communication between containers, and connecting your first model for document-based question answering. ...
Jan AI: Guide to Self-Hosting LLMs on Your Machine TL;DR Jan AI is an open-source desktop application that lets you run large language models entirely on your local machine—no cloud dependencies, no data leaving your network. Think of it as a polished alternative to Ollama with a ChatGPT-like interface built in. ...
How to Set Up a Local AI Assistant That Works Offline TL;DR This guide walks you through deploying a fully offline AI assistant using Ollama and Open WebUI on a Linux system. You’ll run models like Llama 3.1, Mistral, or Qwen locally without internet connectivity or cloud dependencies. What you’ll accomplish: Install Ollama as a systemd service, download AI models for offline use, deploy Open WebUI as your chat interface, and configure everything to work without external network access. The entire stack runs on your hardware—a laptop with 16GB RAM handles 7B models, while 32GB+ systems can run 13B or larger models. ...
LM Studio vs Ollama: Complete Comparison for Local AI TL;DR LM Studio and Ollama are both excellent tools for running LLMs locally, but they serve different use cases. LM Studio offers a polished GUI experience ideal for experimentation and interactive chat, while Ollama provides a streamlined CLI and API-first approach perfect for automation and production deployments. ...
Self-Hosting Open WebUI with Docker TL;DR Open WebUI is a self-hosted web interface for running local LLMs through Ollama, providing a ChatGPT-like experience without cloud dependencies. This guide walks you through Docker-based deployment, configuration, and integration with local models. What you’ll accomplish: Deploy Open WebUI in under 10 minutes using Docker Compose, connect it to Ollama for model inference, configure authentication, and set up persistent storage for chat history and model configurations. ...
Open WebUI vs Ollama Web UI: Choosing the Right One TL;DR Open WebUI (formerly Ollama WebUI) is the actively maintained, feature-rich choice for most users, while Ollama Web UI refers to the deprecated original project that’s no longer developed. Open WebUI offers a ChatGPT-like interface with multi-user support, RAG (Retrieval-Augmented Generation) for document chat, model management, conversation history, and plugin architecture. It runs as a Docker container or Python application, connecting to your local Ollama instance on port 11434. Perfect for teams, homelab setups, or anyone wanting a polished UI with authentication and persistent storage. ...
