Mixtral 8x7B has 47 billion parameters across 32 layers, all loaded in memory at 16 bits, yet each token uses about the compute of a 13B model and it runs about as fast as one.
In a dense model that size, every token would go through all 47 billion.
Mixtral 8x7B has 47 billion parameters across 32 layers, all loaded in memory at 16 bits, yet each token uses about the compute of a 13B model and it runs about as fast as one.
In a dense model that size, every token would go through all 47 billion.