BF16 vs FP32 in Model Training: Developers Discuss Precision Trade-offs
Wonderful-Reserve728 · reddit · 2026-08-14
A developer sought advice on choosing data precision for model fine-tuning. They previously used FP8, which ruined the results, and switched to FP32 with perfect outcomes, but noticed the community widely recommends BF16 for training and saving to save VRAM.
They want to know if using BF16 causes noticeable quality degradation compared to FP32 during training and saving, and how to balance precision and VRAM consumption in practical engineering.
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