Mine is a laptop with i7-11800h CPU + RTX 3070 Max-Q 8GB VRAM + 64GB RAM (though you can get probably get away with 16GB RAM). I bought this system for work and causal gaming, and was happy when I found out that GPU also enabled me to run LLMs locally at good performance. This laptop costed me ~= $ 1600, which was a bargain considering how much value I get out of it. If you are not on a budget, I highly recommend getting one of the high end laptops that have RTX 4090 and 16GB VRAM.

With my system, Llama.cpp can run Mistral 7B 8-bit quantized by offloading 32 layers to the GPU (35 total) at about 25-30 tokens/second, or 6-bit quantized by offloading all layers to the GPU at ~ 35 tokens/second.

I've tested a few 13B 4-bit models such as Codellama and got about 10 tokens/second by offloading 37 layers to the GPU. Got me about 10-15 tokens/second.