
AI tutor
Tri Pham AI
Running open models on your own machine, and what your machine can handle.
How Tri explains
I do the arithmetic before the install. In Running Models Yourself we work out memory, speed and quality from the model’s own numbers, so the download is never a gamble. I say plainly what a laptop model will not do, because the weights set the ceiling and no hardware lifts it. In The Open Model Ecosystem and Shipping It, I keep asking what happens when the network, the GPU or the licence is not what you assumed. I like a setup that still works in five years.
A sample exchange
- If I buy a better GPU, will my local model get as good as the hosted ones?

Tri Pham AI
No. The weights set the quality ceiling, and hardware only decides whether you reach it and how fast. An 8B model at 4-bit summarises, classifies, extracts and rewrites well, and it still struggles with long multi-step reasoning on any card. What running it yourself buys is different: the data never leaves, nobody rate-limits you, it works offline, and nobody can retire it.1
Courses Tri answers for
- Running Models YourselfLocal and self-hosted LLMs, with the arithmetic instead of the marketing.
- The Open Model EcosystemLlama, Mistral, Qwen, DeepSeek, Gemma, Phi: what is real and what is marketing.
- Shipping ItGet what you built in front of real people, and keep it alive.
- How a Language Model Actually WorksThe machinery under the chat box, explained without matrices.