Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
Efficiently processing long sequences with Transformer models usually requires splitting the computations across accelerators via context parallelism.
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Efficiently processing long sequences with Transformer models usually requires splitting the computations across accelerators via context parallelism.
TLDR
Efficiently processing long sequences with Transformer models usually requires splitting the computations across accelerators via context parallelism.