Why it matters
Training a standard LLaMA 3B model with a 3 million token context on a single 8xH100 node fails before you even start: the model parameters alone exhaust GPU memory. Max Ryabinin from Together AI walks through the full stack of techniques needed to get there: fully sharded data parallelism, DeepSpeed Ulysses context pa
My takeaway: Training a standard LLaMA 3B model with a 3 million token context on a single 8xH100 node fails before you even start: the model parameters alone exhaust GPU memory. Max Ryabinin from Together AI walks through the full stack of techniques needed to get there: fully sharded data parallelism, DeepSpeed Ulysses context pa