Can run with mmap() but it is slower. 4-bit quantized there is a decent ratio between the model size and the RAM, with a fast SSD one could try to see how it works. However when a model is 4-bit quantized there is often the doubt that it is not better than an 8-bit quantized model of 200B parameters, it depends on the model, on the use case, ... Unfortunately the street for local inference of SOTA model is being stopped by the RAM prices and the GPU request of the companies, leaving us with little. Probably today the best bet is to buy Mac Studio systems and then run distributed inference (MLX supports this for instance), or a 512 GB Mac Studio M4 that costs, like 13k$.