Review: Running an LLM Locally at Home (A 40-Something Guy's Trial and Error)

I was worried about company data leaving the building, so I installed a local model on my home PC. To cut to the conclusion: it’s fun as a hobby, but it still has a long way to go for practical work.

My specs are a 4070 12GB and 32GB RAM. At this level, 7–8B models run okay. 14B can run if quantized, but the perceived speed drops sharply.

Things I tried:

• Chat interface: Open WebUI was the most convenient. Setup difficulty is low too.
• Document summarization: It summarizes around 30 PDF pages decently. That said, long documents get cut off by the context.
• Coding assistance: Honestly, cloud models are much better. Local models get the syntax right, but their design sense is shallow.

What I felt after using it for two weeks:

1. GPU memory is everything. Once it spills over to RAM, it’s just waiting time.

2. Heat/noise are worse than expected. If you leave it running at night, it’s noisy.

3. In the end, it’s a trade-off between data sensitivity and performance.

Running it at home as a toy is genuinely fun. But I’ve put aside, for now, the idea of building some kind of service with it.