#Ollama
100 related articles

Complete Guide: Local Deployment of Qwen3 Coding Model with Ollama + Cline
Learn how to locally deploy Qwen3 coding models for free using Ollama, VSCode, and Cline. Covers hardware selection, model download, context settings, and MCP integration.

Ollama Custom Install Path Guide: Stop It from Filling Up Your C Drive
Ollama installing to C drive by default? Learn how to install it to a custom path via CLI, configure PATH environment variables, and use the `where` command. Windows 10/11.

Complete Guide to Local LLM Deployment: Ollama + Qwen for Privacy-First, Zero-Cost AI
Step-by-step guide to running LLMs locally for free: use Ollama to run Qwen open-source models with a GUI client. Private, offline, zero cost — full setup walkthrough included.

NVIDIA DGX Spark in Action: Deploying Local Models with Ollama and Connecting to Automation Tools
Step-by-step guide to installing Ollama on NVIDIA DGX Spark, running local LLMs like Qwen 3.5 9B, and connecting to automation tools — including the critical /v1 API endpoint fix.

Ollama + Chatbox Tutorial: Run Large Language Models Locally on Your Own Computer
Step-by-step guide to deploying local LLMs with Ollama and adding a GUI via Chatbox. Covers installation, model selection by hardware specs, and local AI chat setup.

How to Connect Local Ollama Models After the Obsidian Copilot Plugin Upgrade
After Obsidian Copilot's update, the config logic changed. Learn how to add Ollama via the BYOK tab, set a placeholder API Key, and switch to Agent Chat mode.

Free 32GB VRAM GPU on Kaggle: A Complete Guide to Running Local AI Models at Zero Cost
Learn how to use Kaggle's free dual T4 GPUs (32GB VRAM) to run local AI models via Ollama and Cloudflare tunnel — completely free, 30 hrs/week.

Ollama Local LLM Deployment Guide: Achieve Token Freedom at Zero Cost
Complete guide to deploying LLMs locally with Ollama: installation, model selection, and OpenAI API integration. Free, offline, private. Windows/Mac/Linux supported.

Getting Started with Ollama: The Go-To Tool for Running Open-Source LLMs Locally
Ollama is a free, open-source tool for managing and deploying open-source LLMs like DeepSeek locally. Learn what it is, its cross-platform support, CPU/GPU features, and key use cases.

Getting Started with Ollama: The Essential Tool for Local Open-Source LLM Deployment
Learn what Ollama is and why it matters: a free, open-source tool for deploying LLMs like DeepSeek locally, with GPU/CPU support, cross-platform compatibility, and API access for private AI apps.

Amp Adds BYOK Model Routing: Seamless Integration with Ollama Cloud Models
Amp launches BYOK model routing for direct Ollama cloud model access — no platform fees, no call limits, plus support for remote agents controlled from anywhere.
TutorialsOllama Getting Started Guide: The Best Tool for Locally Deploying Open-Source LLMs
A detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
TutorialsOllama Local LLM Deployment: From Installation to Conversation in Three Steps
Learn how to deploy LLMs locally with Ollama in three simple steps: install, choose a model, and run. No coding required, supports offline use, and completely free.
TutorialsOllama + Gemma 4 Local Codex Setup: Complete Guide to Zero-Cost AI Programming
Learn how to run Codex locally with Ollama and Gemma 4 for zero-cost AI programming. Covers installation, model selection, and real demos as an alternative to $20-200/month paid plans.
TutorialsPractical Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Step-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
TutorialsComplete Guide to Local LLM Deployment with Ollama: AI That Works Offline
Complete guide to deploying open-source LLMs locally with Ollama. Covers installation, model selection, VRAM requirements, and performance comparison of Llama 3 and Qwen models. Free, offline-capable AI.
TutorialsOllama Local LLM Deployment Tutorial: Complete Guide from Installation to API Integration
Complete guide to deploying open-source LLMs locally with Ollama, covering installation, model selection, quantization strategies, Python API integration, and performance optimization tips.
TutorialsDeepSeek Local Deployment Tutorial: One-Click Install & Run with Ollama
Learn how to deploy DeepSeek R1 locally using Ollama with this step-by-step guide covering installation, model selection, hardware requirements, and advanced features like GUI and knowledge bases.
TutorialsLocal Deployment of DeepSeek + RAG Knowledge Base Tutorial: A Step-by-Step Guide with Ollama + RAGFlow
Step-by-step guide to locally deploying DeepSeek with Ollama and building a RAG private knowledge base with RAGFlow. Covers environment setup, Docker deployment, and Embedding principles.
TutorialsDeepSeek + RAGFlow Local Deployment AI Knowledge Base Tutorial (2025 Latest)
Step-by-step guide to locally deploy a personal AI knowledge base with DeepSeek + RAGFlow + Ollama. Covers RAG principles, Ollama setup, Docker deployment, and knowledge base optimization.