handy ollama
Basic Information
handy-ollama is a hands-on tutorial repository that teaches users how to deploy and manage large language models locally using Ollama with a focus on CPU-only environments. The project provides step-by-step guidance from installation and configuration on macOS, Windows, Linux and Docker to importing models (GGUF, PyTorch, safetensors and direct model imports), customizing prompts and storage, and using the Ollama REST API. It also covers integration with LangChain and client code examples in multiple languages, plus visual deployment using FastAPI and WebUI. The repo includes notebooks, markdown docs and example applications such as local RAG systems and agent setups. It targets learners and developers who want to run LLMs on consumer hardware, manage local models securely, and build applications without relying on GPU infrastructure.
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