a vocabulary of its own.
Custom tokenizers and carefully prepared training data lay the groundwork for learning.
Custom tokenizers and carefully prepared training data lay the groundwork for learning.
We train models from scratch on Apple Silicon, exploring what accessible hardware can make possible.
We share evaluations, training records and limitations so others can inspect the results and build on the work.
Our current cluster brings five Apple Silicon Macs together over a Thunderbolt RDMA ring. Explore the hardware, how the workload is split, and how every worker stays in sync.
Inside distributed training