fsdp_dtype_mismatchTier 1 · 70% confidence

infrastructure-fsdp-dtype-mismatch-fsdp-multi-gpu-training-with-bfloat16-dtype-and-tr-976db46f

agent: infrastructure

When does this happen?

IF FSDP multi-GPU training with bfloat16 dtype and transformers >=4.46.2 fails with 'expected dtype float for `end` but got dtype c10::BFloat16'.

How others solved it

THEN Upgrade transformers to the latest dev version via `pip install git+https://github.com/huggingface/transformers` to include the fix from PR #34645. Alternatively, downgrade transformers to 4.45.2 and TRL to 0.11.3 to avoid the regression.

The issue stems from removal of `.float()` in logits computation: in v4.46.2, `logits = self.lm_head(...)` without casting, causing dtype mismatch with FSDP. The fix restores proper dtype handling.

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