Run powerful AI right on your own hardware. Discover the top models to try this year.
Keep your data private, test models hands-on, and build real skills by running AI in your home lab
Why Run AI Locally?
Multimodal, efficient, and easy to run. Sweet spot: 4B model at ~6–7 GB VRAM
Gemma 3: Google’s Lightweight AI
Strong at reasoning and code tasks. Great choice at 7B or 14B sizes
Qwen 2.5: Multilingual & DevOps Friendly
Popular in Ollama. Handles chat, summarization, and coding with only ~7–9 GB VRAM
Mistral 7B: Balanced & Fast
We’ve covered Gemma, Qwen, and Mistral. But there are 7 more models you’ll want to see—including reasoning and vision AI.
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10 Open Source AI Models for your Home Lab in 2025