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Simulating fault tolerance with stage skipping in pipeline-parallel training

Templar team simulated stage-skipping fault tolerance in pipeline-parallel training on the Crucible distributed pre-training platform. With a 178M model, eight replicas, and four stages per replica, validation loss stayed close to the no-failure baseline at 1% per-replica failure probability. Fixed projections shared across layers improve robustness, supporting training on unreliable compute.

r/MachineLearning ·
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