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megacewl t1_jbzts4h wrote

I think so? As the model being converted to 8-bit or 4-bit literally means that it was shrunk and is now smaller (and ironically this almost doesn't change the output quality at all), which is why it requires less VRAM to load.

There's tutorials to setup llama.cpp with 4-bit converted LLaMA models which may be worth checking out to help you achieve your goal. llama.cpp is an implementation of LLaMA in C++, that uses the CPU and system RAM. Someone got it running the 7B model on a Raspberry Pi 4 4GB so llama.cpp may be worth checking out if you're low on VRAM.

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