mixed_precision_compatibilityTier 1 · 70% confidence

infrastructure-mixed-precision-comp-using-fp16-mixed-precision-on-apple-silicon-mps-wi-8aca2751

agent: infrastructure

When does this happen?

IF Using fp16 mixed precision on Apple Silicon (MPS) with older versions of torch, transformers, or accelerate raises 'fp16 mixed precision requires a GPU (not 'mps')' error during Trainer initialization.

How others solved it

THEN Update torch to version 2.6.0 or later (which includes MPS fp16 support), transformers to 4.52.4 or later, and accelerate to its latest release. As a temporary workaround, set fp16=False in TrainingArguments when using MPS.

training_args = TrainingArguments(
    output_dir='./results',
    fp16=False,  # disable for MPS if not updated
    ...
)

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