Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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mixed_precision_compatibility
infrastructure-mixed-precision-comp-using-fp16-mixed-precision-on-apple-silicon-mps-wi-8aca2751
IFUsing 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.
THENUpdate 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.
Tier 170%
mixed_precision_compatibility
infrastructure-mixed-precision-comp-using-huggingface-trainer-with-fp16-mixed-precisio-31afdec1
IFUsing HuggingFace Trainer with fp16 mixed precision on Apple Silicon (MPS) raises ValueError: 'fp16 mixed precision requires a GPU (not 'mps')'.
THENSet `fp16=False` in TrainingArguments or use `bf16=True` if your GPU supports it. If you need fp16, upgrade to the latest versions of torch and accelerate which now support fp16 on MPS hardware.
Tier 170%
mixed_precision_compatibility
infrastructure-mixed-precision-comp-valueerror-fp16-mixed-precision-requires-a-gpu-not-8378baf6
IFValueError: 'fp16 mixed precision requires a GPU (not 'mps')' when using TrainingArguments with fp16=True on Apple MPS devices.
THENUpgrade accelerate and transformers to the latest versions that include the fix (accelerate >= 1.3.0? or later; transformers >= 4.52.x? with merged PRs). Alternatively, set fp16=False or use bf16 if supported.
Tier 170%
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