Local AI use cases with Qwen
Qwen is Alibaba's family of open-weight models. It ranges from tiny to very large and includes coder and vision variants that are widely used for local tool calling and coding.
Home RAG assistant for embedded-systems docs on Proxmox
Ollama, llama.cpp, Open WebUI, BGE-M3 and SearXNG in a GPU-passthrough VM. Moving from 6 GB to 16 GB of VRAM changed which models could run.
Offline meeting minutes with whisper.cpp + Ollama
Turns a 1-hour meeting into structured minutes in under 4 minutes on an RTX 3060, with zero network requests. Bash and Python pipeline included.
Overnight video-to-RAG pipeline for 2,000+ saved clips
A local Qwen3.6 35B with ffmpeg, scenedetect and Whisper indexes saved TikToks and YouTube videos, so you can later find 'that one plumbing tutorial'.
A private ChatGPT for a family of four on a Mac mini
One always-on M4 Mac mini serves Open WebUI to every phone and laptop in the house. Kids get a tutor preset, and three AI subscriptions are gone.
Hybrid workflow: local for private and repetitive, cloud for hard
A Linux sysadmin stopped trying to replace cloud LLMs. Ollama now handles private docs, overnight article summaries and VS Code autocomplete.
Fully local Home Assistant voice assistant on a GPU
Wake word to spoken answer in 2-3 seconds, with zero audio leaving the house. Built from faster-whisper, Piper and Ollama, with a cloud fallback.
Replacing Google Nest Minis with local Assist on llama.cpp
After a year of Nest Minis getting dumber, a household moved to fully local Assist. Higher-quant GGUF models from Hugging Face are what finally fixed tool calling.
Mac Studio as an always-on, LLM-driven smart-home brain
Phrases like 'it's stuffy in here' become real device calls, run by Ollama with qwen3:14b on a Mac Studio. €15 ESP32 satellites keep all audio on the LAN.
Security camera descriptions and search with Frigate GenAI
Frigate sends camera frames to a local vision model (qwen3-vl via Ollama or llama.cpp) for searchable event descriptions, review summaries and chat.
14 months local-first: what still breaks
An honest report from a three-machine home lab. Local handles about 85% of tasks, but four kinds of work still fail, and that cut cloud spend from $187 to about $25 a month.
Aider + qwen2.5-coder:14b as a local Claude Code alternative
A tic-tac-toe test on an RTX 5060 Ti 16 GB. The game worked on the first pass, but the tests and input validation needed several rounds of prompting.
Copilot-style coding assistant from a headless RTX 3090 box
qwen2.5-coder:7b on a home server, reached from a laptop over an SSH tunnel and wired into VS Code through Continue for chat, edits and autocomplete.