hacklas

For a dense model this would be a limitation, but not all of a MoE model needs to be in memory, but the largest part of a MoE are the routed experts. Some parts are needed to generated every single to…

Worth mentioning why this is harder than it looks. There is a different set of experts at every layer, and each layer has a small router that decides which ones to use. The router needs to look at the…

How large? With 64 GB of unified memory, you should be able to run a DeepSeek V4 Flash quantisation at 7–10 t/s, for example with: https://github.com/antirez/ds4 or https:&…

The Deepseek V3 is a model with 671 billion parameters, of which 37 billion are active. Magistral Small is a 24 billion parameter model. Pretty impressive in terms of efficiency for Mistral. The size …