As per the technical report, every 5 layers you have a global attention layer. The global attention layer during training can have as many as a 128k context length during training (though I understand it is usually 32k).
Q. When you are training with a context length of 128k, is the attention in the global layers dense or sparse ?
If dense, would the attention memory requirement here would be O(n^2) where n is 128k for each global layer ?
Q. When you are training with a context length of 128k, is the attention in the global layers dense or sparse ?
If dense, would the attention memory requirement here would be O(n^2) where n is 128k for each global layer ?