Totally, I’ve been fiddling with local models on my machine (16GB AMD GPU + 64GB DDR4) for a few years and it’s remarkable the pace of improvement in what I can run. It has gone from complete novelty/useless to legitimately capable models running fast enough and with a big enough context to be useful running in a coding harness on a real codebase. A lot of that is down to the models themselves and the people making quants, but it feels like every time I pull llama.cpp changes and rebuild I get more performance and capability.